gr::digital::mpsk_snr_est_skew Class Reference

SNR Estimator using skewness correction. More...

#include <gnuradio/digital/mpsk_snr_est.h>

Inheritance diagram for gr::digital::mpsk_snr_est_skew:

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...

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

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.

Constructor & Destructor Documentation

gr::digital::mpsk_snr_est_skew::mpsk_snr_est_skew

(

double

alpha

)

Constructor

Parameters:

Parameters

alpha

the update rate of internal running average calculations.

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

inline

Member Function Documentation

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.

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

virtual

Update the current registers.

Reimplemented from gr::digital::mpsk_snr_est.

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

• mpsk_snr_est.h