/* -*- c++ -*- */ /* * Copyright 2009,2011,2012 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. */ #ifndef INCLUDED_DIGITAL_FLL_BAND_EDGE_CC_H #define INCLUDED_DIGITAL_FLL_BAND_EDGE_CC_H #include #include #include #include #include typedef gr_fir_ccc* (*fir_maker_t)(const std::vector &taps); typedef gr_fir_ccc filter_t; class digital_fll_band_edge_cc; typedef boost::shared_ptr digital_fll_band_edge_cc_sptr; DIGITAL_API digital_fll_band_edge_cc_sptr digital_make_fll_band_edge_cc(float samps_per_sym, float rolloff, int filter_size, float bandwidth); /*! * \class digital_fll_band_edge_cc * \brief Frequency Lock Loop using band-edge filters * * \ingroup general * \ingroup digital * * The frequency lock loop derives a band-edge filter that covers the * upper and lower bandwidths of a digitally-modulated signal. The * bandwidth range is determined by the excess bandwidth (e.g., * rolloff factor) of the modulated signal. The placement in frequency * of the band-edges is determined by the oversampling ratio (number * of samples per symbol) and the excess bandwidth. The size of the * filters should be fairly large so as to average over a number of * symbols. * * The FLL works by filtering the upper and lower band edges into * x_u(t) and x_l(t), respectively. These are combined to form cc(t) * = x_u(t) + x_l(t) and ss(t) = x_u(t) - x_l(t). Combining these to * form the signal e(t) = Re{cc(t) \\times ss(t)^*} (where ^* is the * complex conjugate) provides an error signal at the DC term that is * directly proportional to the carrier frequency. We then make a * second-order loop using the error signal that is the running * average of e(t). * * In practice, the above equation can be simplified by just comparing * the absolute value squared of the output of both filters: * abs(x_l(t))^2 - abs(x_u(t))^2 = norm(x_l(t)) - norm(x_u(t)). * * In theory, the band-edge filter is the derivative of the matched * filter in frequency, (H_be(f) = frac{H(f)}{df}). In practice, * this comes down to a quarter sine wave at the point of the matched * filter's rolloff (if it's a raised-cosine, the derivative of a * cosine is a sine). Extend this sine by another quarter wave to * make a half wave around the band-edges is equivalent in time to the * sum of two sinc functions. The baseband filter fot the band edges * is therefore derived from this sum of sincs. The band edge filters * are then just the baseband signal modulated to the correct place in * frequency. All of these calculations are done in the * 'design_filter' function. * * Note: We use FIR filters here because the filters have to have a * flat phase response over the entire frequency range to allow their * comparisons to be valid. * * It is very important that the band edge filters be the derivatives * of the pulse shaping filter, and that they be linear * phase. Otherwise, the variance of the error will be very large. * */ class DIGITAL_API digital_fll_band_edge_cc : public gr_sync_block, public gri_control_loop { private: /*! * Build the FLL * \param samps_per_sym (float) Number of samples per symbol of signal * \param rolloff (float) Rolloff factor of signal * \param filter_size (int) Size (in taps) of the filter * \param bandwidth (float) Loop bandwidth */ friend DIGITAL_API digital_fll_band_edge_cc_sptr digital_make_fll_band_edge_cc(float samps_per_sym, float rolloff, int filter_size, float bandwidth); float d_sps; float d_rolloff; int d_filter_size; std::vector d_taps_lower; std::vector d_taps_upper; bool d_updated; filter_t* d_filter_lower; filter_t* d_filter_upper; std::vector d_output_hist; std::vector d_fllbuffer; /*! * Build the FLL * \param samps_per_sym (float) number of samples per symbol * \param rolloff (float) Rolloff (excess bandwidth) of signal filter * \param filter_size (int) number of filter taps to generate * \param bandwidth (float) Loop bandwidth */ digital_fll_band_edge_cc(float samps_per_sym, float rolloff, int filter_size, float bandwidth); /*! * Design the band-edge filter based on the number of samples per symbol, * filter rolloff factor, and the filter size * * \param samps_per_sym (float) Number of samples per symbol of signal * \param rolloff (float) Rolloff factor of signal * \param filter_size (int) Size (in taps) of the filter */ void design_filter(float samps_per_sym, float rolloff, int filter_size); public: ~digital_fll_band_edge_cc(); /******************************************************************* SET FUNCTIONS *******************************************************************/ /*! * \brief Set the number of samples per symbol * * Set's the number of samples per symbol the system should * use. This value is uesd to calculate the filter taps and will * force a recalculation. * * \param sps (float) new samples per symbol * */ void set_samples_per_symbol(float sps); /*! * \brief Set the rolloff factor of the shaping filter * * This sets the rolloff factor that is used in the pulse shaping * filter and is used to calculate the filter taps. Changing this * will force a recalculation of the filter taps. * * This should be the same value that is used in the transmitter's * pulse shaping filter. It must be between 0 and 1 and is usually * between 0.2 and 0.5 (where 0.22 and 0.35 are commonly used * values). * * \param rolloff (float) new shaping filter rolloff factor [0,1] * */ void set_rolloff(float rolloff); /*! * \brief Set the number of taps in the filter * * This sets the number of taps in the band-edge filters. Setting * this will force a recalculation of the filter taps. * * This should be about the same number of taps used in the * transmitter's shaping filter and also not very large. A large * number of taps will result in a large delay between input and * frequency estimation, and so will not be as accurate. Between 30 * and 70 taps is usual. * * \param filter_size (float) number of taps in the filters * */ void set_filter_size(int filter_size); /******************************************************************* GET FUNCTIONS *******************************************************************/ /*! * \brief Returns the number of sampler per symbol used for the filter */ float get_samples_per_symbol() const; /*! * \brief Returns the rolloff factor used for the filter */ float get_rolloff() const; /*! * \brief Returns the number of taps of the filter */ int get_filter_size() const; /*! * Print the taps to screen. */ void print_taps(); int work(int noutput_items, gr_vector_const_void_star &input_items, gr_vector_void_star &output_items); }; #endif