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gr-digitalhf/lib/kalman_exp.cc
2019-09-11 16:33:48 +02:00

104 lines
2.4 KiB
C++

// -*- C++ -*-
#include <cassert>
#include "kalman_exp.hpp"
#include <volk/volk.h>
namespace gr {
namespace digitalhf {
filter_update::sptr kalman_exp::make(float r, float lambda) {
return filter_update::sptr(new kalman_exp(r, lambda));
}
kalman_exp::kalman_exp(float r, float lambda)
: _r(r)
, _lambda(lambda)
, _gain()
, _p()
, _temp()
, _t1() {
}
kalman_exp::~kalman_exp() {
}
void kalman_exp::resize(size_t n) {
if (_gain.size() == n &&
_p.size() == n*n &&
_temp.size() == n*n &&
_t1.size() == n*n)
return;
_gain.resize(n);
_p.resize(n*n);
_temp.resize(n*n);
_t1.resize(n*n);
reset();
}
void kalman_exp::reset() {
size_t const n = _gain.size();
std::fill_n(_gain.begin(), n, 0);
std::fill_n(_p.begin(), n*n, 0);
for (size_t i=0; i<n; ++i)
_p[n*i +i] = gr_complex(0.1f); // TODO?
}
gr_complex const* kalman_exp::update(gr_complex const* beg,
gr_complex const* end) {
assert(end-beg > 0);
unsigned const n = end - beg;
resize(n);
// P = P/lambda
volk_32f_s32f_multiply_32f((float*)&_p[0], (float const*)&_p[0], 1.0f/_lambda, 2*n*n);
// gain = P*H^{\dagger}
for (unsigned i=0; i<n; ++i) {
_gain[i] = 0;
volk_32fc_x2_conjugate_dot_prod_32fc(&_gain[i], &_p[n*i], beg, n);
}
// alpha = H*P*H^{\dagger} + R
gr_complex alpha = 0;
volk_32fc_x2_dot_prod_32fc(&alpha, &_gain[0], beg, n);
alpha += _r;
// gain = gain / real(alpha)
volk_32f_s32f_multiply_32f((float*)&_gain[0], (float const*)&_gain[0], 1.0f/std::real(alpha), 2*n);
// temp = 1 - G*H
for (unsigned i=0; i<n; ++i) {
volk_32fc_s32fc_multiply_32fc(&_temp[n*i], beg, -_gain[i], n);
_temp[n*i+i] += 1.0f;
}
// T1 = temp * P
// P = T1 * temp^{\dagger} + G*R*G^{\dagger}
for (unsigned i=0; i<n; ++i) {
// P = P^T so we can use a VOLK kernel below
for (unsigned j=0; j<n; ++j)
std::swap(_p[n*i+j], _p[n*j+i]);
for (unsigned j=0; j<n; ++j) {
_t1[n*i+j] = 0.0f;
volk_32fc_x2_dot_prod_32fc(&_t1[n*i+j], &_temp[n*i], &_p[n*j], n);
}
for (unsigned j=0; j<n; ++j) {
_p[n*i+j] = 0;
volk_32fc_x2_conjugate_dot_prod_32fc(&_p[n*i+j], &_t1[n*i], &_temp[n*j], n);
_p[n*i+j] += _r * _gain[i]*std::conj(_gain[j]);
}
}
return &_gain[0];
}
void kalman_exp::set_parameters(std::map<std::string, float> const& p) {
_r = p.at("r");
_lambda = p.at("lambda");
}
} // namespace digitalhf
} // namespace gr