1
0
Fork 0
mirror of https://github.com/hb9fxq/gr-digitalhf synced 2024-11-18 10:47:46 +00:00
gr-digitalhf/lib/kalman_hsu.hpp

58 lines
1.4 KiB
C++
Raw Normal View History

2019-09-11 14:30:36 +00:00
// -*- c++ -*-
#ifndef _LIB_KALMAN_HSU_HPP_
#define _LIB_KALMAN_HSU_HPP_
#include <vector>
#include "filter_update.hpp"
2019-09-24 11:29:56 +00:00
#include "volk_alloc.h"
2019-09-11 14:30:36 +00:00
namespace gr {
namespace digitalhf {
// see
// [1] IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. IT-28, NO. 5, SEPTEMBER 1982 753
// "Square Root Kalman Filtering for High-Speed Data Received over Fading Dispersive HF Channels
// FRANK M. HSU
// [2] https://open.library.ubc.ca/collections/ubctheses/831/items/1.0096286
class kalman_hsu : public filter_update {
public:
virtual ~kalman_hsu();
static sptr make(float q, float e);
virtual void reset();
virtual gr_complex const* update(gr_complex const*, gr_complex const*);
virtual void set_parameters(std::map<std::string, float>const &);
inline float q() const { return _q; }
inline float e() const { return _e; }
protected:
void resize(size_t);
inline unsigned idx(unsigned i, unsigned j) const {
return i+j*(j-1)/2; // lower-triangular matrix index -> linear index
}
private:
2019-09-14 15:02:30 +00:00
kalman_hsu(float q, float e);
2019-09-24 11:29:56 +00:00
typedef volk::vector<gr_complex> complex_vec_type;
typedef volk::vector<float> real_vec_type;
2019-09-11 14:30:36 +00:00
float _q;
float _e;
complex_vec_type _g; // n -- kaman gain
complex_vec_type _u; // n*(n-1)/2
real_vec_type _d; // n
real_vec_type _a; // n
complex_vec_type _f; // n
complex_vec_type _h; // n
} ;
} // namespace digitalhf
} // namespace gr
#endif // _LIB_KALMAN_HSU_HPP_