path: root/gr-radio-astronomy/src/python/usrp_ra_receiver.py

#!/usr/bin/env python
#
# Copyright 2004,2005,2007 Free Software Foundation, Inc.
# 
# This file is part of GNU Radio
# 
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
# 
# GNU Radio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.	See the
# GNU General Public License for more details.
# 
# You should have received a copy of the GNU General Public License
# along with GNU Radio; see the file COPYING.  If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
# 

from gnuradio import gr, gru
from gnuradio import usrp
from usrpm import usrp_dbid
from gnuradio import eng_notation
from gnuradio.eng_option import eng_option
from gnuradio.wxgui import stdgui2, ra_fftsink, ra_stripchartsink, ra_waterfallsink, form, slider
from optparse import OptionParser
import wx
import sys
import Numeric 
import time
import numpy.fft
import ephem

class app_flow_graph(stdgui2.std_top_block):
	def __init__(self, frame, panel, vbox, argv):
		stdgui2.std_top_block.__init__(self, frame, panel, vbox, argv)

		self.frame = frame
		self.panel = panel
		
		parser = OptionParser(option_class=eng_option)
		parser.add_option("-R", "--rx-subdev-spec", type="subdev", default=(0, 0),
			help="select USRP Rx side A or B (default=A)")
		parser.add_option("-d", "--decim", type="int", default=16,
			help="set fgpa decimation rate to DECIM [default=%default]")
		parser.add_option("-f", "--freq", type="eng_float", default=None,
			help="set frequency to FREQ", metavar="FREQ")
		parser.add_option("-a", "--avg", type="eng_float", default=1.0,
			help="set spectral averaging alpha")
		parser.add_option("-i", "--integ", type="eng_float", default=1.0,
			help="set integration time")
		parser.add_option("-g", "--gain", type="eng_float", default=None,
			help="set gain in dB (default is midpoint)")
		parser.add_option("-l", "--reflevel", type="eng_float", default=30.0,
			help="Set Total power reference level")
		parser.add_option("-y", "--division", type="eng_float", default=0.5,
			help="Set Total power Y division size")
		parser.add_option("-e", "--longitude", type="eng_float", default=-76.02,help="Set Observer Longitude")
		parser.add_option("-c", "--latitude", type="eng_float", default=44.85,help="Set Observer Latitude")
		parser.add_option("-o", "--observing", type="eng_float", default=0.0,
			help="Set observing frequency")
		parser.add_option("-x", "--ylabel", default="dB", help="Y axis label") 
		parser.add_option("-z", "--divbase", type="eng_float", default=0.025, help="Y Division increment base") 
		parser.add_option("-v", "--stripsize", type="eng_float", default=2400, help="Size of stripchart, in 2Hz samples") 
		parser.add_option("-F", "--fft_size", type="eng_float", default=1024, help="Size of FFT")
		parser.add_option("-N", "--decln", type="eng_float", default=999.99, help="Observing declination")
		parser.add_option("-X", "--prefix", default="./")
		parser.add_option("-M", "--fft_rate", type="eng_float", default=8.0, help="FFT Rate")
		parser.add_option("-A", "--calib_coeff", type="eng_float", default=1.0, help="Calibration coefficient")
		parser.add_option("-B", "--calib_offset", type="eng_float", default=0.0, help="Calibration coefficient")
		parser.add_option("-W", "--waterfall", action="store_true", default=False, help="Use Waterfall FFT display")
		parser.add_option("-S", "--setimode", action="store_true", default=False, help="Enable SETI processing of spectral data")
		parser.add_option("-K", "--setik", type="eng_float", default=1.5, help="K value for SETI analysis")
		parser.add_option("-T", "--setibandwidth", type="eng_float", default=12500, help="Instantaneous SETI observing bandwidth--must be divisor of 250Khz")
		parser.add_option("-Q", "--seti_range", type="eng_float", default=1.0e6, help="Total scan width, in Hz for SETI scans")
		parser.add_option("-Z", "--dual_mode", action="store_true",
			default=False, help="Dual-polarization mode")
		parser.add_option("-I", "--interferometer", action="store_true", default=False, help="Interferometer mode")
		parser.add_option("-D", "--switch_mode", action="store_true", default=False, help="Dicke Switching mode")
		parser.add_option("-P", "--reference_divisor", type="eng_float", default=1.0, help="Reference Divisor")
		parser.add_option("-U", "--ref_fifo", default=None)
		parser.add_option("-k", "--notch_taps", type="int", default=64, help="Number of notch taps")
		parser.add_option("-n", "--notches", action="store_true", 
		    default=False, help="Notch frequencies after all other args")
		parser.add_option("-Y", "--interface", default=None)
		parser.add_option("-H", "--mac_addr", default=None)

		# Added this documentation
		
		(options, args) = parser.parse_args()

		self.setimode = options.setimode
		self.dual_mode = options.dual_mode
		self.interferometer = options.interferometer
		self.normal_mode = False
		self.switch_mode = options.switch_mode
		self.switch_state = 0
		self.reference_divisor = options.reference_divisor
		self.ref_fifo = options.ref_fifo
		self.usrp2 = False
		self.decim = options.decim
		self.rx_subdev_spec = options.rx_subdev_spec
		
		if (options.interface != None and options.mac_addr != None):
			self.mac_addr = options.mac_addr
			self.interface = options.interface
			self.usrp2 = True
		
		self.NOTCH_TAPS = options.notch_taps
		self.notches = Numeric.zeros(self.NOTCH_TAPS,Numeric.Float64)
		# Get notch locations
		j = 0
		for i in args:
			self.notches[j] = float(i)
			j = j + 1
		
		self.use_notches = options.notches
		
		if (self.ref_fifo != None):
			self.ref_fifo_file = open (self.ref_fifo, "r")
		
		modecount = 0
		for modes in (self.dual_mode, self.interferometer):
			if (modes == True):
				modecount = modecount + 1
				
		if (modecount > 1):
			print "must select only 1 of --dual_mode, or --interferometer"
			sys.exit(1)
			
		self.chartneeded = True
		
		if (self.setimode == True):
			self.chartneeded = False
			
		if (self.setimode == True and self.interferometer == True):
			print "can't pick both --setimode and --interferometer"
			sys.exit(1)
			
		if (self.setimode == True and self.switch_mode == True):
			print "can't pick both --setimode and --switch_mode"
			sys.exit(1)
		
		if (self.interferometer == True and self.switch_mode == True):
			print "can't pick both --interferometer and --switch_mode"
			sys.exit(1)
		
		if (modecount == 0):
			self.normal_mode = True

		self.show_debug_info = True
		
		# Pick up waterfall option
		self.waterfall = options.waterfall

		# SETI mode stuff
		self.setimode = options.setimode
		self.seticounter = 0
		self.setik = options.setik
		self.seti_fft_bandwidth = int(options.setibandwidth)

		# Calculate binwidth
		binwidth = self.seti_fft_bandwidth / options.fft_size

		# Use binwidth, and knowledge of likely chirp rates to set reasonable
		#  values for SETI analysis code.	We assume that SETI signals will
		#  chirp at somewhere between 0.10Hz/sec and 0.25Hz/sec.
		#
		# upper_limit is the "worst case"--that is, the case for which we have
		#  to wait the longest to actually see any drift, due to the quantizing
		#  on FFT bins.
		upper_limit = binwidth / 0.10
		self.setitimer = int(upper_limit * 2.00)
		self.scanning = True

		# Calculate the CHIRP values based on Hz/sec
		self.CHIRP_LOWER = 0.10 * self.setitimer
		self.CHIRP_UPPER = 0.25 * self.setitimer

		# Reset hit counters to 0
		self.hitcounter = 0
		self.s1hitcounter = 0
		self.s2hitcounter = 0
		self.avgdelta = 0
		# We scan through 2Mhz of bandwidth around the chosen center freq
		self.seti_freq_range = options.seti_range
		# Calculate lower edge
		self.setifreq_lower = options.freq - (self.seti_freq_range/2)
		self.setifreq_current = options.freq
		# Calculate upper edge
		self.setifreq_upper = options.freq + (self.seti_freq_range/2)

		# Maximum "hits" in a line
		self.nhits = 20

		# Number of lines for analysis
		self.nhitlines = 4

		# We change center frequencies based on nhitlines and setitimer
		self.setifreq_timer = self.setitimer * (self.nhitlines * 5)

		# Create actual timer
		self.seti_then = time.time()

		# The hits recording array
		self.hits_array = Numeric.zeros((self.nhits,self.nhitlines), Numeric.Float64)
		self.hit_intensities = Numeric.zeros((self.nhits,self.nhitlines), Numeric.Float64)
		# Calibration coefficient and offset
		self.calib_coeff = options.calib_coeff
		self.calib_offset = options.calib_offset
		if self.calib_offset < -750:
			self.calib_offset = -750
		if self.calib_offset > 750:
			self.calib_offset = 750

		if self.calib_coeff < 1:
			self.calib_coeff = 1
		if self.calib_coeff > 100:
			self.calib_coeff = 100

		self.integ = options.integ
		self.avg_alpha = options.avg
		self.gain = options.gain
		self.decln = options.decln

		# Set initial values for datalogging timed-output
		self.continuum_then = time.time()
		self.spectral_then = time.time()
		
	  
		# build the graph

		self.subdev = [(0, 0), (0,0)]
		
		#
		# If SETI mode, we always run at maximum USRP decimation
		#
		if (self.setimode):
			options.decim = 256
		
		if (self.dual_mode == True and self.decim <= 4):
			print "Cannot use decim <= 4 with dual_mode"
			sys.exit(1)
		
		self.setup_usrp()
		
		# Set initial declination
		self.decln = options.decln

		input_rate = self.u.adc_freq() / self.u.decim_rate()
		self.bw = input_rate
		#
		# Set prefix for data files
		#
		self.prefix = options.prefix

		#
		# The lower this number, the fewer sample frames are dropped
		#  in computing the FFT.  A sampled approach is taken to
		#  computing the FFT of the incoming data, which reduces
		#  sensitivity.	 Increasing sensitivity inreases CPU loading.
		#
		self.fft_rate = options.fft_rate

		self.fft_size = int(options.fft_size)

		# This buffer is used to remember the most-recent FFT display
		#	values.	 Used later by self.write_spectral_data() to write
		#	spectral data to datalogging files, and by the SETI analysis
		#	function.
		#
		self.fft_outbuf = Numeric.zeros(self.fft_size, Numeric.Float64)

		#
		# If SETI mode, only look at seti_fft_bandwidth
		#	at a time.
		#
		if (self.setimode):
			self.fft_input_rate = self.seti_fft_bandwidth

			#
			# Build a decimating bandpass filter
			#
			self.fft_input_taps = gr.firdes.complex_band_pass (1.0,
			   input_rate,
			   -(int(self.fft_input_rate/2)), int(self.fft_input_rate/2), 200,
			   gr.firdes.WIN_HAMMING, 0)

			#
			# Compute required decimation factor
			#
			decimation = int(input_rate/self.fft_input_rate)
			self.fft_bandpass = gr.fir_filter_ccc (decimation, 
				self.fft_input_taps)
		else:
			self.fft_input_rate = input_rate

		# Set up FFT display
		if self.waterfall == False:
		   self.scope = ra_fftsink.ra_fft_sink_c (panel, 
			   fft_size=int(self.fft_size), sample_rate=self.fft_input_rate,
			   fft_rate=int(self.fft_rate), title="Spectral",  
			   ofunc=self.fft_outfunc, xydfunc=self.xydfunc)
		else:
			self.scope = ra_waterfallsink.waterfall_sink_c (panel,
				fft_size=int(self.fft_size), sample_rate=self.fft_input_rate,
				fft_rate=int(self.fft_rate), title="Spectral", ofunc=self.fft_outfunc, size=(1100, 600), xydfunc=self.xydfunc, ref_level=0, span=10)

		# Set up ephemeris data
		self.locality = ephem.Observer()
		self.locality.long = str(options.longitude)
		self.locality.lat = str(options.latitude)
		
		# We make notes about Sunset/Sunrise in Continuum log files
		self.sun = ephem.Sun()
		self.sunstate = "??"

		# Set up stripchart display
		tit = "Continuum"
		if (self.dual_mode != False):
			tit = "H+V Continuum"
		if (self.interferometer != False):
			tit = "East x West Correlation"
		self.stripsize = int(options.stripsize)
		if self.chartneeded == True:
			self.chart = ra_stripchartsink.stripchart_sink_f (panel,
				stripsize=self.stripsize,
				title=tit,
				xlabel="LMST Offset (Seconds)",
				scaling=1.0, ylabel=options.ylabel,
				divbase=options.divbase)

		# Set center frequency
		self.centerfreq = options.freq

		# Set observing frequency (might be different from actual programmed
		#	 RF frequency)
		if options.observing == 0.0:
			self.observing = options.freq
		else:
			self.observing = options.observing

		# Remember our input bandwidth
		self.bw = input_rate
		
		#
		# 
		# The strip chart is fed at a constant 1Hz rate
		#

		#
		# Call constructors for receive chains
		#
		
		if (self.dual_mode == True):
			self.setup_dual (self.setimode)
			
		if (self.interferometer == True):
			self.setup_interferometer(self.setimode)
				
		if (self.normal_mode == True):
			self.setup_normal(self.setimode)
			
		if (self.setimode == True):
			self.setup_seti()

		self._build_gui(vbox)

		# Make GUI agree with command-line
		self.integ = options.integ
		if self.setimode == False:
			self.myform['integration'].set_value(int(options.integ))
			self.myform['offset'].set_value(self.calib_offset)
			self.myform['dcgain'].set_value(self.calib_coeff)
		self.myform['average'].set_value(int(options.avg))


		if self.setimode == False:
			# Make integrator agree with command line
			self.set_integration(int(options.integ))

		self.avg_alpha = options.avg

		# Make spectral averager agree with command line
		if options.avg != 1.0:
			self.scope.set_avg_alpha(float(1.0/options.avg))
			self.scope.set_average(True)

		if self.setimode == False:
			# Set division size
			self.chart.set_y_per_div(options.division)
			# Set reference(MAX) level
			self.chart.set_ref_level(options.reflevel)

		# set initial values

		if options.gain is None:
			# if no gain was specified, use the mid-point in dB
			g = self.subdev[0].gain_range()
			options.gain = float(g[0]+g[1])/2

		if options.freq is None:
			# if no freq was specified, use the mid-point
			r = self.subdev[0].freq_range()
			options.freq = float(r[0]+r[1])/2

		# Set the initial gain control
		self.set_gain(options.gain)

		if not(self.set_freq(options.freq)):
			self._set_status_msg("Failed to set initial frequency")

		# Set declination
		self.set_decln (self.decln)


		# RF hardware information
		self.myform['decim'].set_value(self.u.decim_rate())
		self.myform['USB BW'].set_value(self.u.adc_freq() / self.u.decim_rate())
		if (self.dual_mode == True):
			self.myform['dbname'].set_value(self.subdev[0].name()+'/'+self.subdev[1].name())
		else:
			self.myform['dbname'].set_value(self.subdev[0].name())

		# Set analog baseband filtering, if DBS_RX
		if self.cardtype in (usrp_dbid.DBS_RX, usrp_dbid.DBS_RX_REV_2_1):
			lbw = (self.u.adc_freq() / self.u.decim_rate()) / 2
			if lbw < 1.0e6:
				lbw = 1.0e6
			self.subdev[0].set_bw(lbw)
			self.subdev[1].set_bw(lbw)
			
		# Start the timer for the LMST display and datalogging
		self.lmst_timer.Start(1000)
		if (self.switch_mode == True):
			self.other_timer.Start(330)


	def _set_status_msg(self, msg):
		self.frame.GetStatusBar().SetStatusText(msg, 0)

	def _build_gui(self, vbox):

		def _form_set_freq(kv):
			# Adjust current SETI frequency, and limits
			self.setifreq_lower = kv['freq'] - (self.seti_freq_range/2)
			self.setifreq_current = kv['freq']
			self.setifreq_upper = kv['freq'] + (self.seti_freq_range/2)

			# Reset SETI analysis timer
			self.seti_then = time.time()
			# Zero-out hits array when changing frequency
			self.hits_array[:,:] = 0.0
			self.hit_intensities[:,:] = -60.0

			return self.set_freq(kv['freq'])

		def _form_set_decln(kv):
			return self.set_decln(kv['decln'])

		# Position the FFT display
		vbox.Add(self.scope.win, 15, wx.EXPAND)

		if self.setimode == False:
			# Position the Total-power stripchart
			vbox.Add(self.chart.win, 15, wx.EXPAND)
		
		# add control area at the bottom
		self.myform = myform = form.form()
		hbox = wx.BoxSizer(wx.HORIZONTAL)
		hbox.Add((7,0), 0, wx.EXPAND)
		vbox1 = wx.BoxSizer(wx.VERTICAL)
		myform['freq'] = form.float_field(
			parent=self.panel, sizer=vbox1, label="Center freq", weight=1,
			callback=myform.check_input_and_call(_form_set_freq, self._set_status_msg))

		vbox1.Add((4,0), 0, 0)

		myform['lmst_high'] = form.static_text_field(
			parent=self.panel, sizer=vbox1, label="Current LMST", weight=1)
		vbox1.Add((4,0), 0, 0)

		if self.setimode == False:
			myform['spec_data'] = form.static_text_field(
				parent=self.panel, sizer=vbox1, label="Spectral Cursor", weight=1)
			vbox1.Add((4,0), 0, 0)

		vbox2 = wx.BoxSizer(wx.VERTICAL)
		if self.setimode == False:
			vbox3 = wx.BoxSizer(wx.VERTICAL)
		g = self.subdev[0].gain_range()
		myform['gain'] = form.slider_field(parent=self.panel, sizer=vbox2, label="RF Gain",
										   weight=1,
										   min=int(g[0]), max=int(g[1]),
										   callback=self.set_gain)

		vbox2.Add((4,0), 0, 0)
		if self.setimode == True:
			max_savg = 100
		else:
			max_savg = 3000
		myform['average'] = form.slider_field(parent=self.panel, sizer=vbox2, 
					label="Spectral Averaging (FFT frames)", weight=1, min=1, max=max_savg, callback=self.set_averaging)

		# Set up scan control button when in SETI mode
		if (self.setimode == True):
			# SETI scanning control
			buttonbox = wx.BoxSizer(wx.HORIZONTAL)
			self.scan_control = form.button_with_callback(self.panel,
				  label="Scan: On ",
				  callback=self.toggle_scanning)
	
			buttonbox.Add(self.scan_control, 0, wx.CENTER)
			vbox2.Add(buttonbox, 0, wx.CENTER)

		vbox2.Add((4,0), 0, 0)

		if self.setimode == False:
			myform['integration'] = form.slider_field(parent=self.panel, sizer=vbox2,
				   label="Continuum Integration Time (sec)", weight=1, min=1, max=180, callback=self.set_integration)

			vbox2.Add((4,0), 0, 0)

		myform['decln'] = form.float_field(
			parent=self.panel, sizer=vbox2, label="Current Declination", weight=1,
			callback=myform.check_input_and_call(_form_set_decln))
		vbox2.Add((4,0), 0, 0)

		if self.setimode == False:
			myform['offset'] = form.slider_field(parent=self.panel, sizer=vbox3,
				label="Post-Detector Offset", weight=1, min=-750, max=750, 
				callback=self.set_pd_offset)
			vbox3.Add((2,0), 0, 0)
			myform['dcgain'] = form.slider_field(parent=self.panel, sizer=vbox3,
				label="Post-Detector Gain", weight=1, min=1, max=100, 
				callback=self.set_pd_gain)
			vbox3.Add((2,0), 0, 0)
		hbox.Add(vbox1, 0, 0)
		hbox.Add(vbox2, wx.ALIGN_RIGHT, 0)

		if self.setimode == False:
			hbox.Add(vbox3, wx.ALIGN_RIGHT, 0)

		vbox.Add(hbox, 0, wx.EXPAND)

		self._build_subpanel(vbox)

		self.lmst_timer = wx.PyTimer(self.lmst_timeout)
		self.other_timer = wx.PyTimer(self.other_timeout)


	def _build_subpanel(self, vbox_arg):
		# build a secondary information panel (sometimes hidden)

		# FIXME figure out how to have this be a subpanel that is always
		# created, but has its visibility controlled by foo.Show(True/False)
		
		if not(self.show_debug_info):
			return

		panel = self.panel
		vbox = vbox_arg
		myform = self.myform

		#panel = wx.Panel(self.panel, -1)
		#vbox = wx.BoxSizer(wx.VERTICAL)

		hbox = wx.BoxSizer(wx.HORIZONTAL)
		hbox.Add((5,0), 0)
		myform['decim'] = form.static_float_field(
			parent=panel, sizer=hbox, label="Decim")

		hbox.Add((5,0), 1)
		myform['USB BW'] = form.static_float_field(
			parent=panel, sizer=hbox, label="USB BW")

		hbox.Add((5,0), 1)
		myform['dbname'] = form.static_text_field(
			parent=panel, sizer=hbox)

		hbox.Add((5,0), 1)
		myform['baseband'] = form.static_float_field(
			parent=panel, sizer=hbox, label="Analog BB")

		hbox.Add((5,0), 1)
		myform['ddc'] = form.static_float_field(
			parent=panel, sizer=hbox, label="DDC")

		hbox.Add((5,0), 0)
		vbox.Add(hbox, 0, wx.EXPAND)

		
		
	def set_freq(self, target_freq):
		"""
		Set the center frequency we're interested in.

		@param target_freq: frequency in Hz
		@rypte: bool

		Tuning is a two step process.  First we ask the front-end to
		tune as close to the desired frequency as it can.  Then we use
		the result of that operation and our target_frequency to
		determine the value for the digital down converter.
		"""
		#
		# Everything except BASIC_RX should support usrp.tune()
		#
		if not (self.cardtype == usrp_dbid.BASIC_RX):
			r = usrp.tune(self.u, self.subdev[0].which(), self.subdev[0], target_freq)
			r = usrp.tune(self.u, self.subdev[1].which(), self.subdev[1], target_freq)
		else:
			r = self.u.set_rx_freq(0, target_freq)
			f = self.u.rx_freq(0)
			if abs(f-target_freq) > 2.0e3:
				r = 0
		if r:
			self.myform['freq'].set_value(target_freq)	   # update displayed value
			#
			# Make sure calibrator knows our target freq
			#

			# Remember centerfreq---used for doppler calcs
			delta = self.centerfreq - target_freq
			self.centerfreq = target_freq
			self.observing -= delta
			self.scope.set_baseband_freq (self.observing)

			self.myform['baseband'].set_value(r.baseband_freq)
			self.myform['ddc'].set_value(r.dxc_freq)
			
			if (self.use_notches):
				self.compute_notch_taps(self.notches)
				if self.dual_mode == False and self.interferometer == False:
					self.notch_filt.set_taps(self.notch_taps)
				else:
					self.notch_filt1.set_taps(self.notch_taps)
					self.notch_filt2.set_taps(self.notch_taps)

			return True

		return False

	def set_decln(self, dec):
		self.decln = dec
		self.myform['decln'].set_value(dec)		# update displayed value

	def set_gain(self, gain):
		self.myform['gain'].set_value(gain)		# update displayed value
		self.subdev[0].set_gain(gain)
		self.subdev[1].set_gain(gain)
		self.gain = gain

	def set_averaging(self, avval):
		self.myform['average'].set_value(avval)
		self.scope.set_avg_alpha(1.0/(avval))
		self.scope.set_average(True)
		self.avg_alpha = avval

	def set_integration(self, integval):
		if self.setimode == False:
			self.integrator.set_taps(1.0/((integval)*(self.bw/2)))
		self.myform['integration'].set_value(integval)
		self.integ = integval

	#
	# Timeout function
	# Used to update LMST display, as well as current
	#  continuum value
	#
	# We also write external data-logging files here
	#
	def lmst_timeout(self):
		self.locality.date = ephem.now()
		if self.setimode == False:
		 x = self.probe.level()
		sidtime = self.locality.sidereal_time()
		# LMST
		s = str(ephem.hours(sidtime)) + " " + self.sunstate
		# Continuum detector value
		if self.setimode == False:
		 sx = "%7.4f" % x
		 s = s + "\nDet: " + str(sx)
		else:
		 sx = "%2d" % self.hitcounter
		 s1 = "%2d" % self.s1hitcounter
		 s2 = "%2d" % self.s2hitcounter
		 sa = "%4.2f" % self.avgdelta
		 sy = "%3.1f-%3.1f" % (self.CHIRP_LOWER, self.CHIRP_UPPER)
		 s = s + "\nHits: " + str(sx) + "\nS1:" + str(s1) + " S2:" + str(s2)
		 s = s + "\nAv D: " + str(sa) + "\nCh lim: " + str(sy)

		self.myform['lmst_high'].set_value(s)

		#
		# Write data out to recording files
		#
		if self.setimode == False:
		 self.write_continuum_data(x,sidtime)
		 self.write_spectral_data(self.fft_outbuf,sidtime)

		else:
		 self.seti_analysis(self.fft_outbuf,sidtime)
		 now = time.time()
		 if ((self.scanning == True) and ((now - self.seti_then) > self.setifreq_timer)):
			 self.seti_then = now
			 self.setifreq_current = self.setifreq_current + self.fft_input_rate
			 if (self.setifreq_current > self.setifreq_upper):
				 self.setifreq_current = self.setifreq_lower
			 self.set_freq(self.setifreq_current)
			 # Make sure we zero-out the hits array when changing
			 #	 frequency.
			 self.hits_array[:,:] = 0.0
			 self.hit_intensities[:,:] = 0.0
	
	def other_timeout(self):
		if (self.switch_state == 0):
			self.switch_state = 1
			
		elif (self.switch_state == 1):
			self.switch_state = 0
			
		if (self.switch_state == 0):
			self.mute.set_n(1)
			self.cmute.set_n(int(1.0e9))
			
		elif (self.switch_state == 1):
			self.mute.set_n(int(1.0e9))
			self.cmute.set_n(1)
			
		if (self.ref_fifo != "@@@@"):
			self.ref_fifo_file.write(str(self.switch_state)+"\n")
			self.ref_fifo_file.flush()

		self.avg_reference_value = self.cprobe.level()
			
		#
		# Set reference value
		#
		self.reference_level.set_k(-1.0 * (self.avg_reference_value/self.reference_divisor))

	def fft_outfunc(self,data,l):
		self.fft_outbuf=data

	def write_continuum_data(self,data,sidtime):
	
		# Create localtime structure for producing filename
		foo = time.localtime()
		pfx = self.prefix
		filenamestr = "%s/%04d%02d%02d%02d" % (pfx, foo.tm_year, 
		   foo.tm_mon, foo.tm_mday, foo.tm_hour)
	
		# Open the data file, appending
		continuum_file = open (filenamestr+".tpdat","a")
	  
		flt = "%6.3f" % data
		inter = self.decln
		integ = self.integ
		fc = self.observing
		fc = fc / 1000000
		bw = self.bw
		bw = bw / 1000000
		ga = self.gain
	
		now = time.time()
	
		#
		# If time to write full header info (saves storage this way)
		#
		if (now - self.continuum_then > 20):
			self.sun.compute(self.locality)
			enow = ephem.now()
			sunset = self.locality.next_setting(self.sun)
			sunrise = self.locality.next_rising(self.sun)
			sun_insky = "Down"
			self.sunstate = "Dn"
			if ((sunrise < enow) and (enow < sunset)):
			   sun_insky = "Up"
			   self.sunstate = "Up"
			self.continuum_then = now
		
			continuum_file.write(str(ephem.hours(sidtime))+" "+flt+" Dn="+str(inter)+",")
			continuum_file.write("Ti="+str(integ)+",Fc="+str(fc)+",Bw="+str(bw))
			continuum_file.write(",Ga="+str(ga)+",Sun="+str(sun_insky)+"\n")
		else:
			continuum_file.write(str(ephem.hours(sidtime))+" "+flt+"\n")
	
		continuum_file.close()
		return(data)

	def write_spectral_data(self,data,sidtime):
	
		now = time.time()
		delta = 10
			
		# If time to write out spectral data
		# We don't write this out every time, in order to
		#	save disk space.  Since the spectral data are
		#	typically heavily averaged, writing this data
		#	"once in a while" is OK.
		#
		if (now - self.spectral_then >= delta):
			self.spectral_then = now

			# Get localtime structure to make filename from
			foo = time.localtime()
		
			pfx = self.prefix
			filenamestr = "%s/%04d%02d%02d%02d" % (pfx, foo.tm_year, 
			   foo.tm_mon, foo.tm_mday, foo.tm_hour)
	
			# Open the file
			spectral_file = open (filenamestr+".sdat","a")
	  
			# Setup data fields to be written
			r = data
			inter = self.decln
			fc = self.observing
			fc = fc / 1000000
			bw = self.bw
			bw = bw / 1000000
			av = self.avg_alpha

			# Write those fields
			spectral_file.write("data:"+str(ephem.hours(sidtime))+" Dn="+str(inter)+",Fc="+str(fc)+",Bw="+str(bw)+",Av="+str(av))
			spectral_file.write (" [ ")
			for r in data:
				spectral_file.write(" "+str(r))

			spectral_file.write(" ]\n")
			spectral_file.close()
			return(data)
	
		return(data)

	def seti_analysis(self,fftbuf,sidtime):
		l = len(fftbuf)
		x = 0
		hits = []
		hit_intensities = []
		if self.seticounter < self.setitimer:
			self.seticounter = self.seticounter + 1
			return
		else:
			self.seticounter = 0

		# Run through FFT output buffer, computing standard deviation (Sigma)
		avg = 0
		# First compute average
		for i in range(0,l):
			avg = avg + fftbuf[i]
		avg = avg / l

		sigma = 0.0
		# Then compute standard deviation (Sigma)
		for i in range(0,l):
			d = fftbuf[i] - avg
			sigma = sigma + (d*d)

		sigma = Numeric.sqrt(sigma/l)

		#
		# Snarfle through the FFT output buffer again, looking for
		#	 outlying data points

		start_f = self.observing - (self.fft_input_rate/2)
		current_f = start_f
		l = len(fftbuf)
		f_incr = self.fft_input_rate / l
		hit = -1

		# -nyquist to DC
		for i in range(l/2,l):
			#
			# If current FFT buffer has an item that exceeds the specified
			#  sigma
			#
			if ((fftbuf[i] - avg) > (self.setik * sigma)):
				hits.append(current_f)
				hit_intensities.append(fftbuf[i])
			current_f = current_f + f_incr

		# DC to nyquist
		for i in range(0,l/2):
			#
			# If current FFT buffer has an item that exceeds the specified
			#  sigma
			#
			if ((fftbuf[i] - avg) > (self.setik * sigma)):
				hits.append(current_f)
				hit_intensities.append(fftbuf[i])
			current_f = current_f + f_incr

		# No hits
		if (len(hits) <= 0):
			return


		#
		# OK, so we have some hits in the FFT buffer
		#	They'll have a rather substantial gauntlet to run before
		#	being declared a real "hit"
		#

		# Update stats
		self.s1hitcounter = self.s1hitcounter + len(hits)

		# Weed out buffers with an excessive number of
		#	signals above Sigma
		if (len(hits) > self.nhits):
			return


		# Weed out FFT buffers with apparent multiple narrowband signals
		#	separated significantly in frequency.  This means that a
		#	single signal spanning multiple bins is OK, but a buffer that
		#	has multiple, apparently-separate, signals isn't OK.
		#
		last = hits[0]
		ns2 = 1
		for i in range(1,len(hits)):
			if ((hits[i] - last) > (f_incr*3.0)):
				return
			last = hits[i]
			ns2 = ns2 + 1

		self.s2hitcounter = self.s2hitcounter + ns2

		#
		# Run through all available hit buffers, computing difference between
		#	frequencies found there, if they're all within the chirp limits
		#	declare a good hit
		#
		good_hit = False
		f_ds = Numeric.zeros(self.nhitlines, Numeric.Float64)
		avg_delta = 0
		k = 0
		for i in range(0,min(len(hits),len(self.hits_array[:,0]))):
			f_ds[0] = abs(self.hits_array[i,0] - hits[i])
			for j in range(1,len(f_ds)):
			   f_ds[j] = abs(self.hits_array[i,j] - self.hits_array[i,0])
			   avg_delta = avg_delta + f_ds[j]
			   k = k + 1

			if (self.seti_isahit (f_ds)):
				good_hit = True
				self.hitcounter = self.hitcounter + 1
				break

		if (avg_delta/k < (self.seti_fft_bandwidth/2)):
			self.avgdelta = avg_delta / k

		# Save 'n shuffle hits
		#  Old hit buffers percolate through the hit buffers
		#  (there are self.nhitlines of these buffers)
		#  and then drop off the end
		#  A consequence is that while the nhitlines buffers are filling,
		#  you can get some absurd values for self.avgdelta, because some
		#  of the buffers are full of zeros
		for i in range(self.nhitlines,1):
			self.hits_array[:,i] = self.hits_array[:,i-1]
			self.hit_intensities[:,i] = self.hit_intensities[:,i-1]

		for i in range(0,len(hits)):
			self.hits_array[i,0] = hits[i]
			self.hit_intensities[i,0] = hit_intensities[i]

		# Finally, write the hits/intensities buffer
		if (good_hit):
			self.write_hits(sidtime)

		return

	def seti_isahit(self,fdiffs):
		truecount = 0

		for i in range(0,len(fdiffs)):
			if (fdiffs[i] >= self.CHIRP_LOWER and fdiffs[i] <= self.CHIRP_UPPER):
				truecount = truecount + 1

		if truecount == len(fdiffs):
			return (True)
		else:
			return (False)

	def write_hits(self,sidtime):
		# Create localtime structure for producing filename
		foo = time.localtime()
		pfx = self.prefix
		filenamestr = "%s/%04d%02d%02d%02d" % (pfx, foo.tm_year, 
		   foo.tm_mon, foo.tm_mday, foo.tm_hour)
	
		# Open the data file, appending
		hits_file = open (filenamestr+".seti","a")

		# Write sidtime first
		hits_file.write(str(ephem.hours(sidtime))+" "+str(self.decln)+" ")

		#
		# Then write the hits/hit intensities buffers with enough
		#	"syntax" to allow parsing by external (not yet written!)
		#	"stuff".
		#
		for i in range(0,self.nhitlines):
			hits_file.write(" ")
			for j in range(0,self.nhits):
				hits_file.write(str(self.hits_array[j,i])+":")
				hits_file.write(str(self.hit_intensities[j,i])+",")
		hits_file.write("\n")
		hits_file.close()
		return

	def xydfunc(self,func,xyv):
		if self.setimode == True:
			return
		magn = int(Numeric.log10(self.observing))
		if (magn == 6 or magn == 7 or magn == 8):
			magn = 6
		dfreq = xyv[0] * pow(10.0,magn)
		if func == 0:
			ratio = self.observing / dfreq
			vs = 1.0 - ratio
			vs *= 299792.0
			if magn >= 9:
			   xhz = "Ghz"
			elif magn >= 6:
			   xhz = "Mhz"
			elif magn <= 5:
			   xhz =  "Khz"
			s = "%.6f%s\n%.3fdB" % (xyv[0], xhz, xyv[1])
			s2 = "\n%.3fkm/s" % vs
			self.myform['spec_data'].set_value(s+s2)
		else:
			tmpnotches = Numeric.zeros(self.NOTCH_TAPS,Numeric.Float64)
			delfreq = -1
			if self.use_notches == True:
				for i in range(0,len(self.notches)):
					if self.notches[i] != 0 and abs(self.notches[i] - dfreq) < ((self.bw/self.NOTCH_TAPS)/2.0):
						delfreq = i
						break
				j = 0
				for i in range(0,len(self.notches)):
					if (i != delfreq):
						tmpnotches[j] = self.notches[i]
						j = j + 1
				if (delfreq == -1):
					for i in range(0,len(tmpnotches)):
						if (int(tmpnotches[i]) == 0):
							tmpnotches[i] = dfreq
							break
				self.notches = tmpnotches
				self.compute_notch_taps(self.notches)
				if self.dual_mode == False and self.interferometer == False:
					self.notch_filt.set_taps(self.notch_taps)
				else:
					self.notch_filt1.set_taps(self.notch_taps)
					self.notch_filt2.set_taps(self.notch_taps)

	def xydfunc_waterfall(self,pos):
		lower = self.observing - (self.seti_fft_bandwidth / 2)
		upper = self.observing + (self.seti_fft_bandwidth / 2)
		binwidth = self.seti_fft_bandwidth / 1024
		s = "%.6fMHz" % ((lower + (pos.x*binwidth)) / 1.0e6)
		self.myform['spec_data'].set_value(s)

	def toggle_cal(self):
		if (self.calstate == True):
		  self.calstate = False
		  self.u.write_io(0,0,(1<<15))
		  self.calibrator.SetLabel("Calibration Source: Off")
		else:
		  self.calstate = True
		  self.u.write_io(0,(1<<15),(1<<15))
		  self.calibrator.SetLabel("Calibration Source: On")

	def toggle_annotation(self):
		if (self.annotate_state == True):
		  self.annotate_state = False
		  self.annotation.SetLabel("Annotation: Off")
		else:
		  self.annotate_state = True
		  self.annotation.SetLabel("Annotation: On")
	#
	# Turn scanning on/off
	# Called-back by "Recording" button
	#
	def toggle_scanning(self):
		# Current scanning?	 Flip state
		if (self.scanning == True):
		  self.scanning = False
		  self.scan_control.SetLabel("Scan: Off")
		# Not scanning
		else:
		  self.scanning = True
		  self.scan_control.SetLabel("Scan: On ")

	def set_pd_offset(self,offs):
		 self.myform['offset'].set_value(offs)
		 self.calib_offset=offs
		 x = self.calib_coeff / 100.0
		 self.cal_offs.set_k(offs*(x*8000))

	def set_pd_gain(self,gain):
		 self.myform['dcgain'].set_value(gain)
		 self.cal_mult.set_k(gain*0.01)
		 self.calib_coeff = gain
		 x = gain/100.0
		 self.cal_offs.set_k(self.calib_offset*(x*8000))

	def compute_notch_taps(self,notchlist):
		 tmptaps = Numeric.zeros(self.NOTCH_TAPS,Numeric.Complex64)
		 binwidth = self.bw / self.NOTCH_TAPS
 
		 for i in range(0,self.NOTCH_TAPS):
			 tmptaps[i] = complex(1.0,0.0)
 
		 for i in notchlist:
			 diff = i - self.observing
			 if int(i) == 0:
				 break
			 if ((i < (self.observing - self.bw/2)) or (i > (self.observing + self.bw/2))):
				 continue
			 if (diff > 0):
				 idx = diff / binwidth
				 idx = round(idx)
				 idx = int(idx)
				 if (idx < 0 or idx > (self.NOTCH_TAPS/2)):
					 break
				 tmptaps[idx] = complex(0.0, 0.0)

			 if (diff < 0):
				 idx = -diff / binwidth
				 idx = round(idx)
				 idx = (self.NOTCH_TAPS/2) - idx
				 idx = int(idx+(self.NOTCH_TAPS/2))
				 if (idx < 0 or idx >= (self.NOTCH_TAPS)):
					 break
				 tmptaps[idx] = complex(0.0, 0.0)

		 self.notch_taps = numpy.fft.ifft(tmptaps)
	
	#
	# Setup common pieces of radiometer mode
	#
	def setup_radiometer_common(self,n):
		# The IIR integration filter for post-detection
		self.integrator = gr.single_pole_iir_filter_ff(1.0)
		self.integrator.set_taps (1.0/self.bw)
		
		if (self.use_notches == True):
			self.compute_notch_taps(self.notches)
			if (n == 2):
				self.notch_filt1 = gr.fft_filter_ccc(1, self.notch_taps)
				self.notch_filt2 = gr.fft_filter_ccc(1, self.notch_taps)
			else:
				self.notch_filt = gr.fft_filter_ccc(1, self.notch_taps)


		# Signal probe
		self.probe = gr.probe_signal_f()

		#
		# Continuum calibration stuff
		#
		x = self.calib_coeff/100.0
		self.cal_mult = gr.multiply_const_ff(self.calib_coeff/100.0)
		self.cal_offs = gr.add_const_ff(self.calib_offset*(x*8000))
		
		#
		# Mega decimator after IIR filter
		#
		if (self.switch_mode == False):
			self.keepn = gr.keep_one_in_n(gr.sizeof_float, self.bw)
		else:
			self.keepn = gr.keep_one_in_n(gr.sizeof_float, int(self.bw/2))
		
		#
		# For the Dicke-switching scheme
		#
		#self.switch = gr.multiply_const_ff(1.0)
		
		#
		if (self.switch_mode == True):
			self.vector = gr.vector_sink_f()
			self.swkeep = gr.keep_one_in_n(gr.sizeof_float, int(self.bw/3))
			self.mute = gr.keep_one_in_n(gr.sizeof_float, 1)
			self.cmute = gr.keep_one_in_n(gr.sizeof_float, int(1.0e9))
			self.cintegrator = gr.single_pole_iir_filter_ff(1.0/(self.bw/2))	
			self.cprobe = gr.probe_signal_f()
		else:
			self.mute = gr.multiply_const_ff(1.0)
			
			
		self.avg_reference_value = 0.0
		self.reference_level = gr.add_const_ff(0.0)
		
	#
	# Setup ordinary single-channel radiometer mode
	#	 
	def setup_normal(self, setimode):
		
		self.setup_radiometer_common(1)
		
		self.head = self.u
		if (self.use_notches == True):
			self.shead = self.notch_filt
		else:
			self.shead = self.u
		
		if setimode == False:
				
			self.detector = gr.complex_to_mag_squared()
			self.connect(self.shead, self.scope)

			if (self.use_notches == False):
				self.connect(self.head, self.detector, self.mute, self.reference_level,
					self.integrator, self.keepn, self.cal_mult, self.cal_offs, self.chart)
			else:
				self.connect(self.head, self.notch_filt, self.detector, self.mute, self.reference_level,
					self.integrator, self.keepn, self.cal_mult, self.cal_offs, self.chart)
				
			self.connect(self.cal_offs, self.probe)
			
			#
			# Add a side-chain detector chain, with a different integrator, for sampling
			#   The reference channel data
			# This is used to derive the offset value for self.reference_level, used above
			#
			if (self.switch_mode == True):		
				self.connect(self.detector, self.cmute, self.cintegrator, self.swkeep, self.cprobe)
			
		return
	
	#
	# Setup dual-channel (two antenna, usual orthogonal polarity probes in the same waveguide)
	#
	def setup_dual(self, setimode):
		
		self.setup_radiometer_common(2)
		
		self.di = gr.deinterleave(gr.sizeof_gr_complex)
		self.addchans = gr.add_cc ()
		self.detector = gr.add_ff ()
		self.h_power = gr.complex_to_mag_squared()
		self.v_power = gr.complex_to_mag_squared()
		self.connect (self.u, self.di)
		
		if (self.use_notches == True):
			self.connect((self.di, 0), self.notch_filt1, (self.addchans, 0))
			self.connect((self.di, 1), self.notch_filt2, (self.addchans, 1))
		else:
			#
			# For spectral, adding the two channels works, assuming no gross
			#	phase or amplitude error
			self.connect ((self.di, 0), (self.addchans, 0))
			self.connect ((self.di, 1), (self.addchans, 1))
		
		#
		# Connect heads of spectral and total-power chains
		#
		if (self.use_notches == False):
			self.head = self.di
		else:
			self.head = (self.notch_filt1, self.notch_filt2)
			
		self.shead = self.addchans
		
		if (setimode == False):
			#
			# For dual-polarization mode, we compute the sum of the
			#	powers on each channel, after they've been detected
			#
			self.detector = gr.add_ff()
			
			#
			# In dual-polarization mode, we compute things a little differently
			# In effect, we have two radiometer chains, terminating in an adder
			#
			if self.use_notches == True:
				self.connect(self.notch_filt1, self.h_power)
				self.connect(self.notch_filt2, self.v_power)
			else:
				self.connect((self.head, 0), self.h_power)
				self.connect((self.head, 1), self.v_power)
			self.connect(self.h_power, (self.detector, 0))
			self.connect(self.v_power, (self.detector, 1))
			self.connect(self.detector, self.mute, self.reference_level,
				self.integrator, self.keepn, self.cal_mult, self.cal_offs, self.chart)
			self.connect(self.cal_offs, self.probe)
			self.connect(self.shead, self.scope)
			
			#
			# Add a side-chain detector chain, with a different integrator, for sampling
			#   The reference channel data
			# This is used to derive the offset value for self.reference_level, used above
			#
			if (self.switch_mode == True):
				self.connect(self.detector, self.cmute, self.cintegrator, self.swkeep, self.cprobe)			
		return
	
	#
	# Setup correlating interferometer mode
	#
	def setup_interferometer(self, setimode):
		self.setup_radiometer_common(2)
		
		self.di = gr.deinterleave(gr.sizeof_gr_complex)
		self.connect (self.u, self.di)
		self.corr = gr.multiply_cc()
		self.c2f = gr.complex_to_float()
		
		self.shead = (self.di, 0)
		
		# Channel 0 to multiply port 0
		# Channel 1 to multiply port 1
		if (self.use_notches == False):
			self.connect((self.di, 0), (self.corr, 0))
			self.connect((self.di, 1), (self.corr, 1))
		else:
			self.connect((self.di, 0), self.notch_filt1, (self.corr, 0))
			self.connect((self.di, 1), self.notch_filt2, (self.corr, 0))
		
		#
		# Multiplier (correlator) to complex-to-float, followed by integrator, etc
		#
		self.connect(self.corr, self.c2f, self.integrator, self.keepn, self.cal_mult, self.cal_offs, self.chart)
		
		#
		# FFT scope gets only 1 channel
		#  FIX THIS, by cross-correlating the *outputs* of two different FFTs, then display
		#  Funky!
		#
		self.connect(self.shead, self.scope)
		
		#
		# Output of correlator/integrator chain to probe
		#
		self.connect(self.cal_offs, self.probe)
		
		return
	
	#
	# Setup SETI mode
	#
	def setup_seti(self):
		self.connect (self.shead, self.fft_bandpass, self.scope)
		return
	
	def setup_usrp(self):
		
		if (self.usrp2 == False):
			if (self.dual_mode == False and self.interferometer == False):
				if (self.decim > 4):
					self.u = usrp.source_c(decim_rate=self.decim,fusb_block_size=8192)
				else:
					self.u = usrp.source_c(decim_rate=self.decim,fusb_block_size=8192, fpga_filename="std_4rx_0tx.rbf")
				self.u.set_mux(usrp.determine_rx_mux_value(self.u, self.rx_subdev_spec))
				# determine the daughterboard subdevice we're using
				self.subdev[0] = usrp.selected_subdev(self.u, self.rx_subdev_spec)
				self.subdev[1] = self.subdev[0]
				self.cardtype = self.subdev[0].dbid()
			else:
				self.u=usrp.source_c(decim_rate=self.decim, nchan=2,fusb_block_size=8192)
				self.subdev[0] = usrp.selected_subdev(self.u, (0, 0))
				self.subdev[1] = usrp.selected_subdev(self.u, (1, 0))
				self.cardtype = self.subdev[0].dbid()
				self.u.set_mux(0x32103210)
				c1 = self.subdev[0].name()
				c2 = self.subdev[1].name()
				if (c1 != c2):
					print "Must have identical cardtypes for --dual_mode or --interferometer"
					sys.exit(1)
				#
				# Set 8-bit mode
				#
				
				width = 8
				shift = 8
				format = self.u.make_format(width, shift)
				r = self.u.set_format(format)
		else:
			if (self.dual_mode == True or self.interferometer == True):
				print "Cannot use dual_mode or interferometer with single USRP2"
				sys.exit(1)
			self.u = usrp2.source_32fc(self.interface, self.mac_addr)
			self.u.set_decim (self.decim)
			self.cardtype = self.u.daughterboard_id()

def main ():
	app = stdgui2.stdapp(app_flow_graph, "RADIO ASTRONOMY SPECTRAL/CONTINUUM RECEIVER: $Revision$", nstatus=1)
	app.MainLoop()

if __name__ == '__main__':
	main ()