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Code Issues Releases Wiki Activity

attempt to regularize kalman_hsu

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This commit is contained in:
Christoph Mayer 2019-09-14 17:02:30 +02:00
parent 01f8f542bc
commit 176fc41650
9 changed files with 30 additions and 21 deletions
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8
lib/adaptive_dfe_impl.cc
View file

@ -232,10 +232,10 @@ bool adaptive_dfe_impl::start()
GR_LOG_DEBUG(d_logger,str(boost::format("adaptive_dfe_impl::start() nB=%d nF=%d mu=%f alpha=%f")
% _nB % _nF % _mu % _alpha));
_filter_update = lms::make(_mu);
// _filter_update = nlms::make(0.5);
// _filter_update = rls::make(0.001f, 0.999f); // not stable
// _filter_update = kalman_exp::make(1.0f, 0.999f); // too slow
// _filter_update = kalman_hsu::make(0.008f, 0.1f); // not stable
//_filter_update = nlms::make(0.5f, 1.0f);
//_filter_update = rls::make(0.001f, 0.9f); // not stable
//_filter_update = kalman_exp::make(1.0f, 0.9f); // too slow
// _filter_update = kalman_hsu::make(0.02f, 0.1f); // not stable
return true;
}
bool adaptive_dfe_impl::stop()

3
lib/kalman_exp.hpp
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@ -16,7 +16,6 @@ namespace digitalhf {
class kalman_exp : public filter_update {
public:
kalman_exp(float r, float lambda);
virtual ~kalman_exp();
static sptr make(float r, float lambda);
@ -29,6 +28,8 @@ protected:
void resize(size_t);
private:
kalman_exp(float r, float lambda);
typedef std::vector<gr_complex, volk_allocator<gr_complex> > vec_type;
float _lambda;
float _r;

6
lib/kalman_hsu.cc
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@ -3,7 +3,7 @@
#include <cassert>
#include "kalman_hsu.hpp"
#include <volk/volk.h>
#include <iostream>
namespace gr {
namespace digitalhf {
@ -92,8 +92,10 @@ gr_complex const* kalman_hsu::update(gr_complex const* beg,
}
}
for (unsigned i=0; i<n; ++i)
for (unsigned i=0; i<n; ++i) {
_d[i] = 1.0f/(10.0f+1.0f/_d[i]);// regularization
_g[i] *= y;
}
return &_g[0];
}

3
lib/kalman_hsu.hpp
View file

@ -20,7 +20,6 @@ namespace digitalhf {
class kalman_hsu : public filter_update {
public:
kalman_hsu(float q, float e);
virtual ~kalman_hsu();
static sptr make(float q, float e);
@ -39,6 +38,8 @@ protected:
return i+j*(j-1)/2; // lower-triangular matrix index -> linear index
}
private:
kalman_hsu(float q, float e);
typedef std::vector<gr_complex, volk_allocator<gr_complex > > complex_vec_type;
typedef std::vector<float, volk_allocator<float> > real_vec_type;
float _q;

3
lib/lms.hpp
View file

@ -14,7 +14,6 @@ namespace digitalhf {
class lms : public filter_update {
public:
lms(float mu);
virtual ~lms();
static sptr make(float mu);
@ -27,6 +26,8 @@ protected:
void resize(size_t);
private:
lms(float mu);
typedef std::vector<gr_complex, volk_allocator<gr_complex> > vec_type;
float _mu;
vec_type _gain;

12
lib/nlms.cc
View file

@ -7,12 +7,13 @@
namespace gr {
namespace digitalhf {
filter_update::sptr nlms::make(float mu) {
return filter_update::sptr(new nlms(mu));
filter_update::sptr nlms::make(float mu, float delta) {
return filter_update::sptr(new nlms(mu, delta));
}
nlms::nlms(float mu)
nlms::nlms(float mu, float delta)
: _mu(mu)
, _delta(delta)
, _gain()
, _tmp()
, _t1() {
@ -41,15 +42,16 @@ gr_complex const* nlms::update(gr_complex const* beg,
resize(n);
volk_32fc_conjugate_32fc(&_tmp[0], beg, n);
volk_32fc_magnitude_squared_32f(&_t1[0], beg, n);
float norm = 0.0f;
float norm = _delta;
volk_32f_accumulator_s32f(&norm, &_t1[0], n);
volk_32f_s32f_multiply_32f((float*)&_gain[0], (float const*)&_tmp[0], _mu/norm, 2*n);
volk_32f_s32f_multiply_32f((float*)&_gain[0], (float const*)&_tmp[0], std::max(0.006f, _mu/norm), 2*n);
return &_gain.front();
}
void nlms::set_parameters(std::map<std::string, float>const & p) {
_mu = p.at("mu");
_delta = p.at("delta");
}
} // namespace digitalhf

6
lib/nlms.hpp
View file

@ -14,10 +14,9 @@ namespace digitalhf {
class nlms : public filter_update {
public:
nlms(float mu);
virtual ~nlms();
static sptr make(float mu);
static sptr make(float mu, float delta);
virtual void reset();
virtual gr_complex const* update(gr_complex const*, gr_complex const*);
@ -27,9 +26,12 @@ protected:
void resize(size_t);
private:
nlms(float mu, float delta);
typedef std::vector<gr_complex, volk_allocator<gr_complex> > complex_vec_type;
typedef std::vector<float, volk_allocator<float> > real_vec_type;
float _mu;
float _delta;
complex_vec_type _gain;
complex_vec_type _tmp;
real_vec_type _t1;

3
lib/rls.cc
View file

@ -53,7 +53,7 @@ gr_complex const* rls::update(gr_complex const* beg,
volk_32fc_x2_conjugate_dot_prod_32fc(&uPu, &_pu[0], beg, n);
volk_32fc_conjugate_32fc(&_tmp[0], &_pu[0], n);
volk_32f_s32f_multiply_32f((float*)&_gain[0], (float const*)&_tmp[0], 1.0f/(_lambda + std::real(uPu)), 2*n);
volk_32f_s32f_multiply_32f((float*)&_gain[0], (float const*)&_tmp[0], 1.0f/(_lambda + std::real(uPu)/_lambda), 2*n);
// volk_32fc_s32fc_multiply_32fc(&_gain[0], &_tmp[0], 1/(_lambda + uPu), n);
for (unsigned i=0; i<n; ++i) {
@ -61,7 +61,6 @@ gr_complex const* rls::update(gr_complex const* beg,
volk_32fc_s32fc_multiply_32fc(&_tmp[0], &_gain[0], -_pu[i], n);
volk_32fc_x2_add_32fc(&_inv_corr[k], &_inv_corr[k], &_tmp[0], n);
volk_32f_s32f_multiply_32f((float*)&_inv_corr[k], (float const*)&_inv_corr[k], 1.0f/_lambda, 2*n);
_inv_corr[k+i] = std::real(_inv_corr[k+i]);
}
return &_gain.front();

3
lib/rls.hpp
View file

@ -14,7 +14,6 @@ namespace digitalhf {
class rls : public filter_update {
public:
rls(float delta, float lambda);
virtual ~rls();
static sptr make(float delta, float lambda);
@ -27,6 +26,8 @@ protected:
void resize(size_t);
private:
rls(float delta, float lambda);
typedef std::vector<gr_complex, volk_allocator<gr_complex> > vec_type;
float _delta;
float _lambda;