WienerHopf Class Reference

A class to implement a Wiener-Hopf clutter filter. More...

#include <WienerHopf.h>

Collaboration diagram for WienerHopf:

Public Member Functions
	WienerHopf (int32_t delayMin, int32_t delayMax, uint32_t nSamples)
	Constructor. More...
	~WienerHopf ()
	Destructor. More...
bool	process (IqData *x, IqData *y)
	Implement the clutter filter. More...

Private Attributes
int32_t	delayMin
	Minimum clutter filter delay (bins). More...
int32_t	delayMax
	Maximum clutter filter delay (bins). More...
uint32_t	nBins
	Number of bins (delayMax - delayMin + 1). More...
uint32_t	nSamples
	Number of samples per CPI. More...
bool	success
	True if clutter filter processing is successful. More...
arma::cx_mat	A
	Autocorrelation toeplitz matrix. More...
arma::cx_vec	a
	Autocorrelation vector. More...
arma::cx_vec	b
	Cross-correlation vector. More...
arma::cx_vec	w
	Weights vector. More...
fftw_plan	fftX
	FFTW plans for clutter filter processing. More...
fftw_plan	fftY
	FFTW plans for clutter filter processing. More...
fftw_plan	fftA
	FFTW plans for clutter filter processing. More...
fftw_plan	fftB
	FFTW plans for clutter filter processing. More...
fftw_plan	fftFiltX
	FFTW plans for clutter filter processing. More...
fftw_plan	fftFiltW
	FFTW plans for clutter filter processing. More...
fftw_plan	fftFilt
	FFTW plans for clutter filter processing. More...
std::complex< double > *	dataX
	FFTW storage for clutter filter processing. More...
std::complex< double > *	dataY
	FFTW storage for clutter filter processing. More...
std::complex< double > *	dataOutX
	FFTW storage for clutter filter processing. More...
std::complex< double > *	dataOutY
	FFTW storage for clutter filter processing. More...
std::complex< double > *	dataA
	FFTW storage for clutter filter processing. More...
std::complex< double > *	dataB
	FFTW storage for clutter filter processing. More...
std::complex< double > *	filtX
	FFTW storage for clutter filter processing. More...
std::complex< double > *	filtW
	FFTW storage for clutter filter processing. More...
std::complex< double > *	filt
	FFTW storage for clutter filter processing. More...
std::deque< std::complex< double > >	xData
	Deque storage for clutter filter processing. More...
std::deque< std::complex< double > >	yData
	Deque storage for clutter filter processing. More...

Detailed Description

A class to implement a Wiener-Hopf clutter filter.

Implements a Wiener-Hopf filter. Uses Cholesky decomposition to speed up matrix inversion, as the Toeplitz matrix is positive-definite and Hermitian.

Author

30hours

Todo:

Fix the segmentation fault from clutter filter numerical instability.

Constructor & Destructor Documentation

WienerHopf()

WienerHopf::WienerHopf	(	int32_t	delayMin,
		int32_t	delayMax,
		uint32_t	nSamples
	)

Constructor.

Parameters

delayMin	Minimum clutter filter delay (bins).
delayMax	Maximum clutter filter delay (bins).
nSamples	Number of samples per CPI.

Returns

The object.

~WienerHopf()

WienerHopf::~WienerHopf

(

)

Destructor.

Returns

Void.

Member Function Documentation

process()

bool WienerHopf::process	(	IqData *	x,
		IqData *	y
	)

Implement the clutter filter.

Parameters

x	Reference samples.
y	Surveillance samples.

Returns

True if clutter filter successful.

Member Data Documentation

A

arma::cx_mat WienerHopf::A

private

Autocorrelation toeplitz matrix.

a

arma::cx_vec WienerHopf::a

private

Autocorrelation vector.

b

arma::cx_vec WienerHopf::b

private

Cross-correlation vector.

dataA

std::complex<double> * WienerHopf::dataA

private

FFTW storage for clutter filter processing.

dataB

std::complex<double> * WienerHopf::dataB

private

FFTW storage for clutter filter processing.

dataOutX

std::complex<double> * WienerHopf::dataOutX

private

FFTW storage for clutter filter processing.

dataOutY

std::complex<double> * WienerHopf::dataOutY

private

FFTW storage for clutter filter processing.

dataX

std::complex<double>* WienerHopf::dataX

private

FFTW storage for clutter filter processing.

dataY

std::complex<double> * WienerHopf::dataY

private

FFTW storage for clutter filter processing.

delayMax

int32_t WienerHopf::delayMax

private

Maximum clutter filter delay (bins).

delayMin

int32_t WienerHopf::delayMin

private

Minimum clutter filter delay (bins).

fftA

fftw_plan WienerHopf::fftA

private

FFTW plans for clutter filter processing.

fftB

fftw_plan WienerHopf::fftB

private

FFTW plans for clutter filter processing.

fftFilt

fftw_plan WienerHopf::fftFilt

private

FFTW plans for clutter filter processing.

fftFiltW

fftw_plan WienerHopf::fftFiltW

private

FFTW plans for clutter filter processing.

fftFiltX

fftw_plan WienerHopf::fftFiltX

private

FFTW plans for clutter filter processing.

fftX

fftw_plan WienerHopf::fftX

private

FFTW plans for clutter filter processing.

fftY

fftw_plan WienerHopf::fftY

private

FFTW plans for clutter filter processing.

filt

std::complex<double> * WienerHopf::filt

private

FFTW storage for clutter filter processing.

filtW

std::complex<double> * WienerHopf::filtW

private

FFTW storage for clutter filter processing.

filtX

std::complex<double> * WienerHopf::filtX

private

FFTW storage for clutter filter processing.

nBins

uint32_t WienerHopf::nBins

private

Number of bins (delayMax - delayMin + 1).

nSamples

uint32_t WienerHopf::nSamples

private

Number of samples per CPI.

success

bool WienerHopf::success

private

True if clutter filter processing is successful.

w

arma::cx_vec WienerHopf::w

private

Weights vector.

xData

std::deque<std::complex<double> > WienerHopf::xData

private

Deque storage for clutter filter processing.

yData

std::deque<std::complex<double> > WienerHopf::yData

private

Deque storage for clutter filter processing.

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The documentation for this class was generated from the following files:

• src/process/clutter/WienerHopf.h
• src/process/clutter/WienerHopf.cpp