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adaptive DFE and added frequency offset tracking added

This commit is contained in:
cmayer 2018-10-26 22:06:21 +02:00
parent cdbe8dcd88
commit 0fb4b1336f
7 changed files with 2844 additions and 40 deletions

View file

@ -22,6 +22,7 @@
# Project setup # Project setup
######################################################################## ########################################################################
cmake_minimum_required(VERSION 2.6) cmake_minimum_required(VERSION 2.6)
set(CMAKE_CXX_STANDARD 11)
project(gr-digitalhf CXX C) project(gr-digitalhf CXX C)
enable_testing() enable_testing()
@ -148,7 +149,7 @@ find_package(Doxygen)
# components required to the list of GR_REQUIRED_COMPONENTS (in all # components required to the list of GR_REQUIRED_COMPONENTS (in all
# caps such as FILTER or FFT) and change the version to the minimum # caps such as FILTER or FFT) and change the version to the minimum
# API compatible version required. # API compatible version required.
set(GR_REQUIRED_COMPONENTS RUNTIME DIGITAL) set(GR_REQUIRED_COMPONENTS RUNTIME DIGITAL VOLK)
find_package(Gnuradio "3.7.2" REQUIRED) find_package(Gnuradio "3.7.2" REQUIRED)
list(INSERT CMAKE_MODULE_PATH 0 ${CMAKE_SOURCE_DIR}/cmake/Modules) list(INSERT CMAKE_MODULE_PATH 0 ${CMAKE_SOURCE_DIR}/cmake/Modules)
include(GrVersion) include(GrVersion)

View file

@ -117,7 +117,7 @@
</param> </param>
<param> <param>
<key>value</key> <key>value</key>
<value>10*sps</value> <value>12*sps</value>
</param> </param>
</block> </block>
<block> <block>
@ -144,7 +144,7 @@
</param> </param>
<param> <param>
<key>value</key> <key>value</key>
<value>5*sps</value> <value>12*sps</value>
</param> </param>
</block> </block>
<block> <block>
@ -395,6 +395,14 @@
<key>id</key> <key>id</key>
<value>digitalhf_adaptive_dfe_0</value> <value>digitalhf_adaptive_dfe_0</value>
</param> </param>
<param>
<key>maxoutbuf</key>
<value>0</value>
</param>
<param>
<key>minoutbuf</key>
<value>0</value>
</param>
<param> <param>
<key>sps</key> <key>sps</key>
<value>sps</value> <value>sps</value>
@ -416,6 +424,373 @@
<value>STANAG_4285</value> <value>STANAG_4285</value>
</param> </param>
</block> </block>
<block>
<key>qtgui_time_sink_x</key>
<param>
<key>autoscale</key>
<value>False</value>
</param>
<param>
<key>axislabels</key>
<value>True</value>
</param>
<param>
<key>alias</key>
<value></value>
</param>
<param>
<key>comment</key>
<value></value>
</param>
<param>
<key>ctrlpanel</key>
<value>False</value>
</param>
<param>
<key>affinity</key>
<value></value>
</param>
<param>
<key>entags</key>
<value>True</value>
</param>
<param>
<key>_enabled</key>
<value>True</value>
</param>
<param>
<key>_coordinate</key>
<value>(874, 176)</value>
</param>
<param>
<key>gui_hint</key>
<value></value>
</param>
<param>
<key>_rotation</key>
<value>0</value>
</param>
<param>
<key>grid</key>
<value>False</value>
</param>
<param>
<key>id</key>
<value>qtgui_time_sink_x_0</value>
</param>
<param>
<key>legend</key>
<value>True</value>
</param>
<param>
<key>alpha1</key>
<value>1.0</value>
</param>
<param>
<key>color1</key>
<value>"blue"</value>
</param>
<param>
<key>label1</key>
<value></value>
</param>
<param>
<key>marker1</key>
<value>-1</value>
</param>
<param>
<key>style1</key>
<value>1</value>
</param>
<param>
<key>width1</key>
<value>1</value>
</param>
<param>
<key>alpha10</key>
<value>1.0</value>
</param>
<param>
<key>color10</key>
<value>"blue"</value>
</param>
<param>
<key>label10</key>
<value></value>
</param>
<param>
<key>marker10</key>
<value>-1</value>
</param>
<param>
<key>style10</key>
<value>1</value>
</param>
<param>
<key>width10</key>
<value>1</value>
</param>
<param>
<key>alpha2</key>
<value>1.0</value>
</param>
<param>
<key>color2</key>
<value>"red"</value>
</param>
<param>
<key>label2</key>
<value></value>
</param>
<param>
<key>marker2</key>
<value>-1</value>
</param>
<param>
<key>style2</key>
<value>1</value>
</param>
<param>
<key>width2</key>
<value>1</value>
</param>
<param>
<key>alpha3</key>
<value>1.0</value>
</param>
<param>
<key>color3</key>
<value>"green"</value>
</param>
<param>
<key>label3</key>
<value></value>
</param>
<param>
<key>marker3</key>
<value>-1</value>
</param>
<param>
<key>style3</key>
<value>1</value>
</param>
<param>
<key>width3</key>
<value>1</value>
</param>
<param>
<key>alpha4</key>
<value>1.0</value>
</param>
<param>
<key>color4</key>
<value>"black"</value>
</param>
<param>
<key>label4</key>
<value></value>
</param>
<param>
<key>marker4</key>
<value>-1</value>
</param>
<param>
<key>style4</key>
<value>1</value>
</param>
<param>
<key>width4</key>
<value>1</value>
</param>
<param>
<key>alpha5</key>
<value>1.0</value>
</param>
<param>
<key>color5</key>
<value>"cyan"</value>
</param>
<param>
<key>label5</key>
<value></value>
</param>
<param>
<key>marker5</key>
<value>-1</value>
</param>
<param>
<key>style5</key>
<value>1</value>
</param>
<param>
<key>width5</key>
<value>1</value>
</param>
<param>
<key>alpha6</key>
<value>1.0</value>
</param>
<param>
<key>color6</key>
<value>"magenta"</value>
</param>
<param>
<key>label6</key>
<value></value>
</param>
<param>
<key>marker6</key>
<value>-1</value>
</param>
<param>
<key>style6</key>
<value>1</value>
</param>
<param>
<key>width6</key>
<value>1</value>
</param>
<param>
<key>alpha7</key>
<value>1.0</value>
</param>
<param>
<key>color7</key>
<value>"yellow"</value>
</param>
<param>
<key>label7</key>
<value></value>
</param>
<param>
<key>marker7</key>
<value>-1</value>
</param>
<param>
<key>style7</key>
<value>1</value>
</param>
<param>
<key>width7</key>
<value>1</value>
</param>
<param>
<key>alpha8</key>
<value>1.0</value>
</param>
<param>
<key>color8</key>
<value>"dark red"</value>
</param>
<param>
<key>label8</key>
<value></value>
</param>
<param>
<key>marker8</key>
<value>-1</value>
</param>
<param>
<key>style8</key>
<value>1</value>
</param>
<param>
<key>width8</key>
<value>1</value>
</param>
<param>
<key>alpha9</key>
<value>1.0</value>
</param>
<param>
<key>color9</key>
<value>"dark green"</value>
</param>
<param>
<key>label9</key>
<value></value>
</param>
<param>
<key>marker9</key>
<value>-1</value>
</param>
<param>
<key>style9</key>
<value>1</value>
</param>
<param>
<key>width9</key>
<value>1</value>
</param>
<param>
<key>name</key>
<value>""</value>
</param>
<param>
<key>nconnections</key>
<value>1</value>
</param>
<param>
<key>size</key>
<value>1024</value>
</param>
<param>
<key>srate</key>
<value>samp_rate</value>
</param>
<param>
<key>stemplot</key>
<value>False</value>
</param>
<param>
<key>tr_chan</key>
<value>0</value>
</param>
<param>
<key>tr_delay</key>
<value>0</value>
</param>
<param>
<key>tr_level</key>
<value>0.0</value>
</param>
<param>
<key>tr_mode</key>
<value>qtgui.TRIG_MODE_FREE</value>
</param>
<param>
<key>tr_slope</key>
<value>qtgui.TRIG_SLOPE_POS</value>
</param>
<param>
<key>tr_tag</key>
<value>""</value>
</param>
<param>
<key>type</key>
<value>complex</value>
</param>
<param>
<key>update_time</key>
<value>0.10</value>
</param>
<param>
<key>ylabel</key>
<value>Amplitude</value>
</param>
<param>
<key>yunit</key>
<value>""</value>
</param>
<param>
<key>ymax</key>
<value>1</value>
</param>
<param>
<key>ymin</key>
<value>-1</value>
</param>
</block>
<connection> <connection>
<source_block_id>analog_noise_source_x_0</source_block_id> <source_block_id>analog_noise_source_x_0</source_block_id>
<sink_block_id>blocks_throttle_0</sink_block_id> <sink_block_id>blocks_throttle_0</sink_block_id>
@ -428,4 +803,10 @@
<source_key>0</source_key> <source_key>0</source_key>
<sink_key>0</sink_key> <sink_key>0</sink_key>
</connection> </connection>
<connection>
<source_block_id>digitalhf_adaptive_dfe_0</source_block_id>
<sink_block_id>qtgui_time_sink_x_0</sink_block_id>
<source_key>0</source_key>
<sink_key>0</sink_key>
</connection>
</flow_graph> </flow_graph>

2202
examples/test_cc.grc Normal file

File diff suppressed because it is too large Load diff

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@ -51,8 +51,9 @@
* type * type
* vlen * vlen
* optional (set to 1 for optional inputs) --> * optional (set to 1 for optional inputs) -->
<!-- <source> --> <source>
<!-- <name>out</name> --> <name>out</name>
<!-- <type><!-\- e.g. int, float, complex, byte, short, xxx_vector, ...-\-></type> --> <type>complex</type>
<!-- </source> --> <!-- byte, short, xxx_vector -->
</source>
</block> </block>

View file

@ -23,6 +23,7 @@
#endif #endif
#include <gnuradio/io_signature.h> #include <gnuradio/io_signature.h>
#include <volk/volk.h>
#include "adaptive_dfe_impl.h" #include "adaptive_dfe_impl.h"
namespace gr { namespace gr {
@ -31,7 +32,7 @@ namespace digitalhf {
namespace { namespace {
class GILLock { class GILLock {
PyGILState_STATE _state; PyGILState_STATE _state;
public: public:
GILLock() GILLock()
:_state(PyGILState_Ensure()) {} :_state(PyGILState_Ensure()) {}
~GILLock() { ~GILLock() {
@ -39,6 +40,7 @@ class GILLock {
} }
} ; } ;
} }
adaptive_dfe::sptr adaptive_dfe::sptr
adaptive_dfe::make(int sps, // samples per symbol adaptive_dfe::make(int sps, // samples per symbol
int nB, // number of forward FIR taps int nB, // number of forward FIR taps
@ -60,29 +62,35 @@ adaptive_dfe_impl::adaptive_dfe_impl(int sps, // samples per symbol
std::string python_module_name) std::string python_module_name)
: gr::block("adaptive_dfe", : gr::block("adaptive_dfe",
gr::io_signature::make(1, 1, sizeof(gr_complex)), gr::io_signature::make(1, 1, sizeof(gr_complex)),
gr::io_signature::make(0, 0, sizeof(gr_complex))) gr::io_signature::make(1, 1, sizeof(gr_complex)))
, _sps(sps) , _sps(sps)
, _nB(nB) , _nB(nB)
, _nF(nF) , _nF(nF)
, _nW(nW) , _nW(nW)
, _mu(0.01)
, _alpha(0.0005)
, _py_module_name(python_module_name) , _py_module_name(python_module_name)
, _physicalLayer() , _physicalLayer()
, _taps_samples(nB+nF+1) , _taps_samples(nullptr)
, _taps_symbols(nW) , _taps_symbols(nullptr)
, _hist_samples(nullptr)
, _hist_symbols(nullptr)
, _hist_sample_index(0)
, _hist_symbol_index(0)
, _sample_counter(0)
, _constellations() , _constellations()
, _constellation_index() , _constellation_index()
, _symbols() , _symbols()
, _scramble() , _scramble()
, _descrambled_symbols()
, _symbol_counter(0)
, _sum_phase_diff(0)
, _df(0)
, _phase(0)
, _b{0.338187046465954, -0.288839024460507}
, _ud(0)
, _state(WAIT_FOR_PREAMBLE)
{ {
// make sure python is ready for threading
if( Py_IsInitialized() ){
if(PyEval_ThreadsInitialized() != 1 ){
PyEval_InitThreads();
}
boost::python::numpy::initialize();
} else {
throw std::runtime_error("dont use es_pyhandler without python!");
}
} }
/* /*
@ -95,7 +103,7 @@ adaptive_dfe_impl::~adaptive_dfe_impl()
void void
adaptive_dfe_impl::forecast (int noutput_items, gr_vector_int &ninput_items_required) adaptive_dfe_impl::forecast (int noutput_items, gr_vector_int &ninput_items_required)
{ {
/* <+forecast+> e.g. ninput_items_required[0] = noutput_items */ ninput_items_required[0] = _sps*noutput_items;
} }
int int
@ -104,21 +112,177 @@ adaptive_dfe_impl::general_work(int noutput_items,
gr_vector_const_void_star &input_items, gr_vector_const_void_star &input_items,
gr_vector_void_star &output_items) gr_vector_void_star &output_items)
{ {
gr::thread::scoped_lock lock(d_setlock);
gr_complex const* in = (gr_complex const *)input_items[0]; gr_complex const* in = (gr_complex const *)input_items[0];
gr_complex *out = (gr_complex *)output_items[0];
int nout = 0;
int i = 0;
for (; i<ninput_items[0] && nout < noutput_items; ++i) {
assert(nout < noutput_items);
_phase += _df;
if (_phase > M_PI)
_phase -= 2*M_PI;
if (_phase < -M_PI)
_phase += 2*M_PI;
_hist_samples[_hist_sample_index] = _hist_samples[_hist_sample_index+_nB+_nF+1] = in[i] * std::exp(gr_complex(0,_phase));
if (++_hist_sample_index == _nB+_nF+1)
_hist_sample_index = 0;
if (_state == WAIT_FOR_PREAMBLE) {
std::vector<tag_t> v;
get_tags_in_window(v, 0, i,i+1);
float phase_est = 0;
float corr_est = 0;
uint64_t offset = 0;
for (int j=0; j<v.size(); ++j) {
std::cout << "tag " << v[j].key << " " << v[j].offset-nitems_read(0) << std::endl;
if (v[j].key == pmt::mp("phase_est")) {
phase_est = pmt::to_double(v[j].value);
std::cout << "phase_est " << v[j].offset <<" " << nitems_read(0) << " " << phase_est << std::endl;
}
if (v[j].key == pmt::mp("corr_est")) {
corr_est = pmt::to_double(v[j].value);
std::cout << "corr_est " << v[j].offset << " " << nitems_read(0) << " "
<< pmt::is_number(v[j].value) << " "
<< pmt::is_integer(v[j].value) << " "
<< pmt::is_real(v[j].value) << " "
<< pmt::to_double(v[j].value)
<< std::endl;
if (corr_est > 130e3) {
offset = v[j].offset - nitems_read(0);
break;
}
}
}
if (corr_est > 130e3) {
_state = DO_FILTER;
_sample_counter = 0;
_symbol_counter = 0;
// _symbols.clear();
// _scramble.clear();
_descrambled_symbols.clear();
// _hist_sample_index = 0;
_hist_symbol_index = 0;
std::fill_n(_hist_symbols, 2*_nW, gr_complex(0));
std::fill_n(_taps_samples, _nB+_nF+1, gr_complex(0));
std::fill_n(_taps_symbols, _nW, gr_complex(0));
//_phase = -phase_est;
_taps_samples[_nB+1] = std::exp(gr_complex(0, -phase_est));
_taps_symbols[0] = 1;
GILLock lock; GILLock lock;
// TODO: wait for preamble correlation tag etc... try {
update_frame_information(_physicalLayer.attr("get_frame")()); update_frame_information(_physicalLayer.attr("get_frame")());
update_doppler_information(_physicalLayer.attr("get_doppler")()); // symbols } catch (boost::python::error_already_set const&) {
PyErr_Print();
}
}
}
if (_state == DO_FILTER) {
gr_complex dot_samples = 0;
// volk_32fc_x2_dot_prod_32fc(&dot_samples,
// &_hist_samples.front()+_hist_sample_index,
// &_taps_samples.front(),
// _taps_samples.size());
gr_complex filter_output = dot_samples;
// if (_sample_counter < 80*5)
// std::cout << "SAMPLE " << _sample_counter << " " << dot_samples << std::endl;
if ((_sample_counter%_sps) == 0) {
if (_symbol_counter == _symbols.size()) {
_symbol_counter = 0;
GILLock lock;
try {
boost::python::numpy::ndarray s = boost::python::numpy::from_data(&_descrambled_symbols.front(),
boost::python::numpy::dtype::get_builtin<gr_complex>(),
boost::python::make_tuple(_descrambled_symbols.size()),
boost::python::make_tuple(sizeof(gr_complex)),
boost::python::object());
update_doppler_information(_physicalLayer.attr("get_doppler")(s));
update_frame_information(_physicalLayer.attr("get_frame")());
} catch (boost::python::error_already_set const&) {
PyErr_Print();
}
}
gr_complex known_symbol = _symbols[_symbol_counter];
bool is_known = true;
for (int k=0; k<1; ++k) {
filter_output = 0;
#if 1
volk_32fc_x2_dot_prod_32fc(&filter_output,
_hist_samples+_hist_sample_index,
_taps_samples,
_nB+_nF+1);
#else
for (int l=0; l<_nB+_nF+1; ++l) {
assert(_hist_sample_index+l < 2*(_nB+_nF+1));
filter_output += _hist_samples[_hist_sample_index+l]*_taps_samples[l];
}
#endif
gr_complex dot_symbols=0;
for (int l=0; l<_nW; ++l) {
assert(_hist_symbol_index+l < 2*_nW);
dot_symbols += _hist_symbols[_hist_symbol_index+l]*_taps_symbols[l];
}
filter_output += dot_symbols;
if (std::abs(known_symbol) < 1e-5) { // not known
is_known = false;
gr_complex descrambled_filter_output = std::conj(_scramble[_symbol_counter]) * filter_output;
gr::digital::constellation_sptr constell = _constellations[_constellation_index];
unsigned int jc = constell->decision_maker(&descrambled_filter_output);
constell->map_to_points(jc, &descrambled_filter_output);
known_symbol = _scramble[_symbol_counter] * descrambled_filter_output;
}
gr_complex err = filter_output - known_symbol;
if (_symbol_counter >= 0) {
for (int j=0; j<_nB+_nF+1; ++j) {
_taps_samples[j] -= _mu*err*std::conj(_hist_samples[_hist_sample_index+j]);
}
for (int j=0; j<_nW; ++j) {
assert(_hist_symbol_index+j < 2*_nW);
_taps_symbols[j] -= _mu*err*std::conj(_hist_symbols[_hist_symbol_index+j]) + _alpha*_taps_symbols[j];
}
}
// std::cout << "filter: " << _symbol_counter << " " << _sample_counter << " " << filter_output << " " << known_symbol << " " << std::abs(err) << std::endl;
}
if (is_known) {
_taps_symbols[_hist_symbol_index] = _taps_symbols[_hist_symbol_index + _nW] = known_symbol;
if (++_hist_symbol_index == _nW)
_hist_symbol_index = 0;
}
_descrambled_symbols[_symbol_counter] = filter_output*std::conj(_scramble[_symbol_counter]);
out[nout++] = filter_output;
++_symbol_counter;
}
_sample_counter += 1;
}
}
consume_each (noutput_items); consume(0, i);
// Tell runtime system how many output items we produced. // Tell runtime system how many output items we produced.
return noutput_items; return nout;
} }
bool adaptive_dfe_impl::start() bool adaptive_dfe_impl::start()
{ {
// make sure python is ready for threading
if( Py_IsInitialized() ){
GILLock lock;
if(PyEval_ThreadsInitialized() != 1 ){
PyEval_InitThreads();
}
boost::python::numpy::initialize();
} else {
throw std::runtime_error("dont use es_pyhandler without python!");
}
_taps_samples = (gr_complex*)(volk_malloc( (_nB+_nF+1)*sizeof(gr_complex), volk_get_alignment()));
_taps_symbols = (gr_complex*)(volk_malloc( _nW*sizeof(gr_complex), volk_get_alignment()));
_hist_samples = (gr_complex*)(volk_malloc(2*(_nB+_nF+1)*sizeof(gr_complex), volk_get_alignment()));
_hist_symbols = (gr_complex*)(volk_malloc( 2*_nW*sizeof(gr_complex), volk_get_alignment()));
_taps_samples[_nB+1] = 1;
_taps_symbols[0] = 1;
std::cout << "adaptive_dfe_impl::start()" << std::endl; std::cout << "adaptive_dfe_impl::start()" << std::endl;
GILLock lock; GILLock lock;
try { try {
@ -137,6 +301,10 @@ bool adaptive_dfe_impl::stop()
std::cout << "adaptive_dfe_impl::stop()" << std::endl; std::cout << "adaptive_dfe_impl::stop()" << std::endl;
GILLock lock; GILLock lock;
_physicalLayer = boost::python::object(); _physicalLayer = boost::python::object();
volk_free(_taps_samples);
volk_free(_taps_symbols);
volk_free(_hist_samples);
volk_free(_hist_symbols);
return true; return true;
} }
@ -168,9 +336,11 @@ void adaptive_dfe_impl::update_frame_information(boost::python::object obj)
int const m = array.shape(0); int const m = array.shape(0);
_symbols.resize(m); _symbols.resize(m);
_scramble.resize(m); _scramble.resize(m);
_descrambled_symbols.resize(m);
for (int i=0; i<m; ++i) { for (int i=0; i<m; ++i) {
std::memcpy(&_symbols[i], data+16*i, sizeof(gr_complex)); std::memcpy(&_symbols[i], data+16*i, sizeof(gr_complex));
std::memcpy(&_scramble[i], data+16*i+8, sizeof(gr_complex)); std::memcpy(&_scramble[i], data+16*i+8, sizeof(gr_complex));
// std::cout << "get_frame " << i << " " << _symbols[i] << " " << _scramble[i] << std::endl;
} }
_constellation_index = boost::python::extract<int>(obj[1]); _constellation_index = boost::python::extract<int>(obj[1]);
} }
@ -180,7 +350,17 @@ void adaptive_dfe_impl::update_doppler_information(boost::python::object obj)
assert(n==2); assert(n==2);
double const do_continue = boost::python::extract<bool>(obj[0]); double const do_continue = boost::python::extract<bool>(obj[0]);
double const doppler = boost::python::extract<float>(obj[1]); double const doppler = boost::python::extract<float>(obj[1]);
// TODO
float delta_f = doppler/_sps;
if (_df == 0) { // init
_ud = _df = -delta_f;
} else {
const float ud_old = _ud;
_ud = -delta_f;
_df +=_b[0]*_ud + _b[1]*ud_old;
}
std::cout << "PLL: " << _df << " " << delta_f << std::endl;
_sum_phase_diff = 0;
} }
} /* namespace digitalhf */ } /* namespace digitalhf */

View file

@ -34,19 +34,42 @@ private:
int _sps; int _sps;
int _nB, _nF, _nW; int _nB, _nF, _nW;
float _mu;
float _alpha;
// module name w.r.t. digitalhf.physical_layer containing a PhysicalLayer class // module name w.r.t. digitalhf.physical_layer containing a PhysicalLayer class
std::string _py_module_name; std::string _py_module_name;
boost::python::object _physicalLayer; // class instance of physical layer description boost::python::object _physicalLayer; // class instance of physical layer description
std::vector<gr_complex> _taps_samples; gr_complex* _taps_samples;
std::vector<gr_complex> _taps_symbols; gr_complex* _taps_symbols;
gr_complex* _hist_samples;
gr_complex* _hist_symbols;
int _hist_sample_index;
int _hist_symbol_index;
std::size_t _sample_counter;
std::vector<gr::digital::constellation_sptr> _constellations; std::vector<gr::digital::constellation_sptr> _constellations;
int _constellation_index; int _constellation_index;
std::vector<gr_complex> _symbols; std::vector<gr_complex> _symbols;
std::vector<gr_complex> _scramble; std::vector<gr_complex> _scramble;
std::vector<gr_complex> _descrambled_symbols;
int _symbol_counter;
int _sample_counter; // PLL for doppler tracking
float _sum_phase_diff;
float _df; // frequency offset in radians per sample
float _phase; // accumulated phase for frequency correction
const float _b[2];
float _ud;
enum state {
WAIT_FOR_PREAMBLE,
DO_FILTER
} _state;
void update_constellations(boost::python::object obj); void update_constellations(boost::python::object obj);
void update_frame_information(boost::python::object obj); void update_frame_information(boost::python::object obj);

View file

@ -14,8 +14,9 @@ class PhysicalLayer(object):
self._preamble = [PhysicalLayer.get_preamble(), 0] ## BPSK self._preamble = [PhysicalLayer.get_preamble(), 0] ## BPSK
self._data = [PhysicalLayer.get_data(), mode] ## according to the mode self._data = [PhysicalLayer.get_data(), mode] ## according to the mode
self._counter = 0 self._counter = 0
self._preamble_phases = []
def set_mode(self): def set_mode(self, mode):
"""For STANAG 4258 the mode has to be set manually: mode=0 -> BPSK, mode=1 -> QPSK, mode=2 -> 8PSK""" """For STANAG 4258 the mode has to be set manually: mode=0 -> BPSK, mode=1 -> QPSK, mode=2 -> 8PSK"""
self._data[1] = mode self._data[1] = mode
@ -24,17 +25,32 @@ class PhysicalLayer(object):
def get_frame(self): def get_frame(self):
"""returns the known+unknown symbols and scrambling""" """returns the known+unknown symbols and scrambling"""
print('-------------------- get_frame --------------------',self._counter)
if self._counter == 0: if self._counter == 0:
return self._preamble x= self._preamble
else: else:
return self._data x=self._data
print('get_frame end\n')
return x;
def get_doppler(self): ## symbols def get_doppler(self, s):
"""used for doppler shift update, for determining which frame to provide next, """used for doppler shift update, for determining which frame to provide next,
and for stopping at end of data/when the signal quality is too low""" and for stopping at end of data/when the signal quality is too low"""
print('-------------------- get_doppler --------------------',self._counter)
doppler = 0
if self._counter == 0: ## preamble
corr = s*np.conj(self._preamble[0]['symb'])
self._preamble_phases.extend([np.angle(np.sum(corr))])
if len(self._preamble_phases) == 2 and False:
doppler = 2*(self._preamble_phases[1] - self._preamble_phases[0])/256
print('preamble_phases', self._preamble_phases, 'doppler', doppler)
self._preamble_phases = self._preamble_phases[1:]
else:
phases = np.unwrap(np.angle(corr))
doppler = 2*(np.median(phases[-20:]) - np.median(phases[:20]))/80
print('doppler', doppler,self._preamble_phases)
self._counter = (self._counter+1)&1 self._counter = (self._counter+1)&1
## TODO: doppler calculations
doppler = 0.1234
return [True, doppler] return [True, doppler]
@staticmethod @staticmethod
@ -67,9 +83,9 @@ class PhysicalLayer(object):
## PSK-8 modulation ## PSK-8 modulation
constellation = PhysicalLayer.make_psk(8,range(8))['points'] constellation = PhysicalLayer.make_psk(8,range(8))['points']
a['scramble'] = constellation[p,] a['scramble'] = constellation[p,]
a['symb'][ 32: 48] = 1 ## mini-probe 1 a['symb'][ 32: 48] = a['scramble'][ 32: 48] ## mini-probe 1
a['symb'][ 80: 96] = 1 ## mini-probe 2 a['symb'][ 80: 96] = a['scramble'][ 80: 96] ## mini-probe 2
a['symb'][128:144] = 1 ## mini-probe 3 a['symb'][128:144] = a['scramble'][128:144] ## mini-probe 3
return a return a
@staticmethod @staticmethod