SNR Estimator using skewness correction. More...

#include <gnuradio/digital/mpsk_snr_est.h>

Public Member Functions
	mpsk_snr_est_skew (double alpha)

	~mpsk_snr_est_skew ()

int	update (int noutput_items, const gr_complex *input)
	Update the current registers. More...

double	snr ()
	Use the register values to compute a new estimate. More...

Public Member Functions inherited from gr::digital::mpsk_snr_est
	mpsk_snr_est (double alpha)

virtual	~mpsk_snr_est ()

double	alpha () const
	Get the running-average coefficient. More...

void	set_alpha (double alpha)
	Set the running-average coefficient. More...

virtual double	signal ()
	Returns the signal power estimate. More...

virtual double	noise ()
	Returns the noise power estimate. More...

Additional Inherited Members
Protected Attributes inherited from gr::digital::mpsk_snr_est
double	d_alpha

double	d_beta

double	d_signal

double	d_noise

Detailed Description

SNR Estimator using skewness correction.

This is an estimator that came from a discussion between Tom Rondeau and fred harris with no known paper reference. The idea is that at low SNR, the variance estimations will be affected because of fold-over around the decision boundaries, which results in a skewness to the samples. We estimate the skewness and use this as a correcting term.

This algorithm only appears to work well for BPSK signals.

Constructor & Destructor Documentation

◆ mpsk_snr_est_skew()

gr::digital::mpsk_snr_est_skew::mpsk_snr_est_skew ( double alpha )

Constructor

Parameters:

Parameters

alpha the update rate of internal running average calculations.

◆ ~mpsk_snr_est_skew()

gr::digital::mpsk_snr_est_skew::~mpsk_snr_est_skew ( )

inline

Member Function Documentation

◆ snr()

double gr::digital::mpsk_snr_est_skew::snr ( )

virtual

Use the register values to compute a new estimate.

Reimplemented from gr::digital::mpsk_snr_est.

◆ update()

int gr::digital::mpsk_snr_est_skew::update	(	int	noutput_items,
		const gr_complex *	input
	)

virtual

Update the current registers.