A class to implement a ambiguity map processing. More...

#include <Ambiguity.h>

Collaboration diagram for Ambiguity:

Classes
struct	PerformanceStats

Public Types
using	Complex = std::complex< double >

Public Member Functions
	Ambiguity (int32_t delayMin, int32_t delayMax, int32_t dopplerMin, int32_t dopplerMax, uint32_t fs, uint32_t n, bool roundHamming=false)
	Constructor. More...

	~Ambiguity ()
	Destructor. More...

Map< Complex > *	process (IqData x, IqData y)
	Implement the ambiguity processor. More...

double	doppler_middle () const

uint16_t	delay_bin_count () const

uint16_t	doppler_bin_count () const

uint16_t	corr_samples_per_pulse () const

double	cpi_length_seconds () const

uint32_t	fft_bin_count () const

PerformanceStats	get_latest_performance () const

Private Attributes
int32_t	delayMin_
	Minimum delay (bins). More...

int32_t	delayMax_
	Maximum delay (bins). More...

int32_t	dopplerMin_
	Minimum Doppler (Hz). More...

int32_t	dopplerMax_
	Maximum Doppler (Hz). More...

uint32_t	fs_
	Sampling frequency (Hz). More...

uint32_t	nSamples_
	Number of samples. More...

double	dopplerMiddle_
	Center of Doppler bins (Hz). More...

uint16_t	nDelayBins_
	Number of delay bins. More...

uint16_t	nDopplerBins_
	Number of Doppler bins. More...

uint16_t	nCorr_
	Number of correlation samples per pulse. More...

double	cpi_
	True CPI time (s). More...

fftw_plan	fftXi_
	FFTW plans for ambiguity processing. More...

fftw_plan	fftYi_

fftw_plan	fftZi_

fftw_plan	fftDoppler_

uint32_t	nfft_
	Number of samples to perform FFT per pulse. More...

std::unique_ptr< Map< Complex > >	map_
	Map to store result. More...

PerformanceStats	latest_performance_


std::vector< Complex >	dataXi_
	FFTW storage for ambiguity processing. More...

std::vector< Complex >	dataYi_
	FFTW storage for ambiguity processing. More...

std::vector< Complex >	dataZi_
	FFTW storage for ambiguity processing. More...

std::vector< Complex >	dataCorr_
	FFTW storage for ambiguity processing. More...

std::vector< Complex >	dataDoppler_
	FFTW storage for ambiguity processing. More...


std::vector< Complex >	corr_
	Vector storage for ambiguity processing. More...

std::vector< Complex >	delayProfile_
	Vector storage for ambiguity processing. More...

Detailed Description

A class to implement a ambiguity map processing.

Implements a the batches algorithm as described in Principles of Modern Radar, Volume II, Chapter 17. See Fundamentals of Radar Signal Processing (Richards) for more on the pulse-Doppler processing method.

Author: 30hours

Todo:: Ambiguity maps are still offset by 1 bin.

Member Typedef Documentation

◆ Complex

using Ambiguity::Complex = std::complex<double>

Constructor & Destructor Documentation

◆ Ambiguity()

Ambiguity::Ambiguity	(	int32_t	delayMin,
		int32_t	delayMax,
		int32_t	dopplerMin,
		int32_t	dopplerMax,
		uint32_t	fs,
		uint32_t	n,
		bool	roundHamming = `false`
	)

Constructor.

Parameters

delayMin	Minimum delay (bins).
delayMax	Maximum delay (bins).
dopplerMin	Minimum Doppler (Hz).
dopplerMax	Maximum Doppler (Hz).
fs	Sampling frequency (Hz).
n	Number of samples.
roundHamming	Round the correlation FFT length to a Hamming number for performance

Returns: The object.

◆ ~Ambiguity()

Ambiguity::~Ambiguity ( )

Destructor.

Returns: Void.

Member Function Documentation

◆ corr_samples_per_pulse()

uint16_t Ambiguity::corr_samples_per_pulse ( ) const

inline

◆ cpi_length_seconds()

double Ambiguity::cpi_length_seconds ( ) const

inline

◆ delay_bin_count()

uint16_t Ambiguity::delay_bin_count ( ) const

inline

◆ doppler_bin_count()

uint16_t Ambiguity::doppler_bin_count ( ) const

inline

◆ doppler_middle()

double Ambiguity::doppler_middle ( ) const

inline

◆ fft_bin_count()

uint32_t Ambiguity::fft_bin_count ( ) const

inline

◆ get_latest_performance()

PerformanceStats Ambiguity::get_latest_performance ( ) const

inline

◆ process()

Map< std::complex< double > > * Ambiguity::process	(	IqData *	x,
		IqData *	y
	)

Implement the ambiguity processor.

Parameters

x	Reference samples.
y	Surveillance samples.

Returns: Ambiguity map data of IQ samples.

Member Data Documentation

◆ corr_

std::vector<Complex> Ambiguity::corr_

private

Vector storage for ambiguity processing.

◆ cpi_

double Ambiguity::cpi_

private

True CPI time (s).