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https://github.com/hb9fxq/gr-digitalhf
synced 2024-12-22 07:09:59 +00:00
bug in phase correction fixed; code readability improved
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f73b7567d3
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@ -207,7 +207,7 @@
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</param>
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<param>
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<key>value</key>
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<value>[[x,x,x,x,x] for x in STANAG_4285.PhysicalLayer.get_preamble()['symb'].tolist()]</value>
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<value>[[x,x,x,x,x] for x in STANAG_4285.PhysicalLayer.get_preamble()['symb'][9:40].tolist()]</value>
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</param>
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</block>
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<block>
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@ -812,7 +812,7 @@
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</param>
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<param>
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<key>mark_delay</key>
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<value>nF+2</value>
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<value>nF+2-9*sps</value>
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</param>
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<param>
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<key>threshold_method</key>
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@ -23,9 +23,14 @@
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#endif
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#include <gnuradio/io_signature.h>
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#include <gnuradio/expj.h>
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#include <volk/volk.h>
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#include "adaptive_dfe_impl.h"
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#define VOLK_SAFE_DELETE(x) \
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volk_free(x); \
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x = nullptr
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namespace gr {
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namespace digitalhf {
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@ -84,7 +89,6 @@ adaptive_dfe_impl::adaptive_dfe_impl(int sps, // samples per symbol
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, _scramble()
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, _descrambled_symbols()
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, _symbol_counter(0)
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, _sum_phase_diff(0)
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, _df(0)
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, _phase(0)
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, _b{0.338187046465954, -0.288839024460507}
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@ -98,6 +102,10 @@ adaptive_dfe_impl::adaptive_dfe_impl(int sps, // samples per symbol
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*/
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adaptive_dfe_impl::~adaptive_dfe_impl()
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{
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VOLK_SAFE_DELETE(_taps_samples);
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VOLK_SAFE_DELETE(_taps_symbols);
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VOLK_SAFE_DELETE(_hist_samples);
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VOLK_SAFE_DELETE(_hist_symbols);
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}
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void
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@ -120,43 +128,13 @@ adaptive_dfe_impl::general_work(int noutput_items,
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int i = 0;
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for (; i<ninput_items[0] && nout < noutput_items; ++i) {
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assert(nout < noutput_items);
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_phase += _df;
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if (_phase > M_PI)
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_phase -= 2*M_PI;
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if (_phase < -M_PI)
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_phase += 2*M_PI;
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_hist_samples[_hist_sample_index] = _hist_samples[_hist_sample_index+_nB+_nF+1] = in[i] * std::exp(gr_complex(0,_phase));
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if (++_hist_sample_index == _nB+_nF+1)
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_hist_sample_index = 0;
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insert_sample(in[i]);
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if (_state == WAIT_FOR_PREAMBLE) {
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std::vector<tag_t> v;
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get_tags_in_window(v, 0, i,i+1);
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float phase_est = 0;
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float corr_est = 0;
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uint64_t offset = 0;
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for (int j=0; j<v.size(); ++j) {
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std::cout << "tag " << v[j].key << " " << v[j].offset-nitems_read(0) << std::endl;
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if (v[j].key == pmt::mp("phase_est")) {
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phase_est = pmt::to_double(v[j].value);
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std::cout << "phase_est " << v[j].offset <<" " << nitems_read(0) << " " << phase_est << std::endl;
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}
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if (v[j].key == pmt::mp("corr_est")) {
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corr_est = pmt::to_double(v[j].value);
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std::cout << "corr_est " << v[j].offset << " " << nitems_read(0) << " "
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<< pmt::is_number(v[j].value) << " "
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<< pmt::is_integer(v[j].value) << " "
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<< pmt::is_real(v[j].value) << " "
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<< pmt::to_double(v[j].value)
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<< std::endl;
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if (corr_est > 130e3) {
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offset = v[j].offset - nitems_read(0);
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break;
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}
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}
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}
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if (corr_est > 130e3) {
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float phase_est = 0;
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if (get_correlation_tag(i, offset, phase_est)) {
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_state = DO_FILTER;
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_sample_counter = 0;
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_symbol_counter = 0;
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@ -168,10 +146,10 @@ adaptive_dfe_impl::general_work(int noutput_items,
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std::fill_n(_hist_symbols, 2*_nW, gr_complex(0));
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std::fill_n(_taps_samples, _nB+_nF+1, gr_complex(0));
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std::fill_n(_taps_symbols, _nW, gr_complex(0));
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//_phase = -phase_est;
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_taps_samples[_nB+1] = std::exp(gr_complex(0, -phase_est));
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_phase = -phase_est;
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_taps_samples[_nB+1] = 1;//gr_expj(-phase_est);
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_taps_symbols[0] = 1;
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GILLock lock;
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GILLock gil_lock;
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try {
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update_frame_information(_physicalLayer.attr("get_frame")());
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} catch (boost::python::error_already_set const&) {
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@ -182,16 +160,16 @@ adaptive_dfe_impl::general_work(int noutput_items,
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if (_state == DO_FILTER) {
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gr_complex dot_samples = 0;
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// volk_32fc_x2_dot_prod_32fc(&dot_samples,
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// &_hist_samples.front()+_hist_sample_index,
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// &_taps_samples.front(),
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// _taps_samples.size());
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gr_complex filter_output = dot_samples;
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// _hist_samples+_hist_sample_index,
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// _taps_samples,
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// _nB+_nF+1);
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// if (_sample_counter < 80*5)
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// std::cout << "SAMPLE " << _sample_counter << " " << dot_samples << std::endl;
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gr_complex filter_output = dot_samples;
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if ((_sample_counter%_sps) == 0) {
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if (_symbol_counter == _symbols.size()) {
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_symbol_counter = 0;
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GILLock lock;
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GILLock gil_lock;
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try {
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boost::python::numpy::ndarray s = boost::python::numpy::from_data(&_descrambled_symbols.front(),
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boost::python::numpy::dtype::get_builtin<gr_complex>(),
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@ -243,7 +221,8 @@ adaptive_dfe_impl::general_work(int noutput_items,
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_taps_symbols[j] -= _mu*err*std::conj(_hist_symbols[_hist_symbol_index+j]) + _alpha*_taps_symbols[j];
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}
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}
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// std::cout << "filter: " << _symbol_counter << " " << _sample_counter << " " << filter_output << " " << known_symbol << " " << std::abs(err) << std::endl;
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// if (_sample_counter < 80*5)
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// std::cout << "filter: " << _symbol_counter << " " << _sample_counter << " " << filter_output << " " << known_symbol << " " << std::abs(err) << std::endl;
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}
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if (is_known) {
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_taps_symbols[_hist_symbol_index] = _taps_symbols[_hist_symbol_index + _nW] = known_symbol;
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@ -266,15 +245,16 @@ adaptive_dfe_impl::general_work(int noutput_items,
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bool adaptive_dfe_impl::start()
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{
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gr::thread::scoped_lock lock(d_setlock);
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// make sure python is ready for threading
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if( Py_IsInitialized() ){
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GILLock lock;
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GILLock gil_lock;
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if(PyEval_ThreadsInitialized() != 1 ){
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PyEval_InitThreads();
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}
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boost::python::numpy::initialize();
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} else {
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throw std::runtime_error("dont use es_pyhandler without python!");
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throw std::runtime_error("dont use adaptive_dfe without python!");
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}
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_taps_samples = (gr_complex*)(volk_malloc( (_nB+_nF+1)*sizeof(gr_complex), volk_get_alignment()));
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_taps_symbols = (gr_complex*)(volk_malloc( _nW*sizeof(gr_complex), volk_get_alignment()));
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@ -284,7 +264,7 @@ bool adaptive_dfe_impl::start()
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_taps_symbols[0] = 1;
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std::cout << "adaptive_dfe_impl::start()" << std::endl;
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GILLock lock;
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GILLock gil_lock;
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try {
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boost::python::object module = boost::python::import(boost::python::str("digitalhf.physical_layer." + _py_module_name));
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boost::python::object PhysicalLayer = module.attr("PhysicalLayer");
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@ -298,13 +278,14 @@ bool adaptive_dfe_impl::start()
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}
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bool adaptive_dfe_impl::stop()
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{
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gr::thread::scoped_lock lock(d_setlock);
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std::cout << "adaptive_dfe_impl::stop()" << std::endl;
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GILLock lock;
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GILLock gil_lock;
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_physicalLayer = boost::python::object();
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volk_free(_taps_samples);
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volk_free(_taps_symbols);
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volk_free(_hist_samples);
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volk_free(_hist_symbols);
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VOLK_SAFE_DELETE(_taps_samples);
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VOLK_SAFE_DELETE(_taps_symbols);
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VOLK_SAFE_DELETE(_hist_samples);
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VOLK_SAFE_DELETE(_hist_symbols);
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return true;
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}
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@ -348,19 +329,55 @@ void adaptive_dfe_impl::update_doppler_information(boost::python::object obj)
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{
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int const n = boost::python::extract<int>(obj.attr("__len__")());
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assert(n==2);
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double const do_continue = boost::python::extract<bool>(obj[0]);
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double const doppler = boost::python::extract<float>(obj[1]);
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bool const do_continue = boost::python::extract<bool>(obj[0]);
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float const doppler = boost::python::extract<float>(obj[1]);
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float delta_f = doppler/_sps;
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update_pll(doppler);
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}
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void adaptive_dfe_impl::update_pll(float doppler) {
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if (doppler == 0)
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return;
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float const delta_f = doppler/_sps;
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if (_df == 0) { // init
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_ud = _df = -delta_f;
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_ud = _df = delta_f;
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} else {
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const float ud_old = _ud;
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_ud = -delta_f;
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float const ud_old = _ud;
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_ud = delta_f;
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_df +=_b[0]*_ud + _b[1]*ud_old;
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}
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std::cout << "PLL: " << _df << " " << delta_f << std::endl;
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_sum_phase_diff = 0;
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}
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void adaptive_dfe_impl::insert_sample(gr_complex z) {
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// local oscillator update
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_phase += _df;
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if (_phase > M_PI)
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_phase -= 2*M_PI;
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if (_phase < -M_PI)
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_phase += 2*M_PI;
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// insert sample into the circular buffer
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_hist_samples[_hist_sample_index] = _hist_samples[_hist_sample_index+_nB+_nF+1] = z * gr_expj(-_phase);
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if (++_hist_sample_index == _nB+_nF+1)
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_hist_sample_index = 0;
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}
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bool adaptive_dfe_impl::get_correlation_tag(uint64_t i, uint64_t& offset, float& phase_est) {
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std::vector<tag_t> v;
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get_tags_in_window(v, 0, i,i+1);
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for (int j=0; j<v.size(); ++j) {
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std::cout << "tag " << v[j].key << " " << v[j].offset-nitems_read(0) << std::endl;
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if (v[j].key == pmt::mp("phase_est")) {
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phase_est = pmt::to_double(v[j].value);
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std::cout << "phase_est " << v[j].offset <<" " << nitems_read(0) << " " << phase_est << std::endl;
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offset = v[j].offset - nitems_read(0);
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}
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if (v[j].key == pmt::mp("corr_est")) {
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double const corr_est = pmt::to_double(v[j].value);
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if (v[j].offset - nitems_read(0) == offset)// && corr_est > 18e3)
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return true;
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}
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}
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return false;
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}
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} /* namespace digitalhf */
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@ -60,7 +60,6 @@ private:
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int _symbol_counter;
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// PLL for doppler tracking
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float _sum_phase_diff;
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float _df; // frequency offset in radians per sample
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float _phase; // accumulated phase for frequency correction
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const float _b[2];
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@ -75,6 +74,10 @@ private:
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void update_frame_information(boost::python::object obj);
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void update_doppler_information(boost::python::object obj);
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void insert_sample(gr_complex z);
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void update_pll(float doppler);
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bool get_correlation_tag(uint64_t i, uint64_t& offset, float& phase_est);
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public:
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adaptive_dfe_impl(int sps, // samples per symbol
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int nB, // number of forward FIR taps
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@ -41,7 +41,7 @@ class PhysicalLayer(object):
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if self._counter == 0: ## preamble
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doppler = PhysicalLayer.data_aided_frequency_estimation(s, self._preamble[0]['symb'])
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self._counter = (self._counter+1)&1
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return [True, 2*doppler]
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return [True, doppler]
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@staticmethod
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def get_preamble():
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