digital_impl_mpsk_snr_est_skew Class Reference

SNR Estimator using skewness correction. More...

#include <digital_impl_mpsk_snr_est.h>

Inheritance diagram for digital_impl_mpsk_snr_est_skew:

List of all members.

Public Member Functions
	digital_impl_mpsk_snr_est_skew (double alpha)
	~digital_impl_mpsk_snr_est_skew ()
int	update (int noutput_items, const gr_complex *in)
	Update the current registers.
double	snr ()
	Use the register values to compute a new estimate.

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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.

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Constructor & Destructor Documentation

digital_impl_mpsk_snr_est_skew::digital_impl_mpsk_snr_est_skew

(

double

alpha

)

Constructor

Parameters:

Parameters:

alpha,:

the update rate of internal running average calculations.

digital_impl_mpsk_snr_est_skew::~digital_impl_mpsk_snr_est_skew

(

)

[inline]

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Member Function Documentation

double digital_impl_mpsk_snr_est_skew::snr

(

)

[virtual]

Use the register values to compute a new estimate.

Reimplemented from digital_impl_mpsk_snr_est.

int digital_impl_mpsk_snr_est_skew::update	(	int	noutput_items,
		const gr_complex *	in
	)		[virtual]

Update the current registers.

Reimplemented from digital_impl_mpsk_snr_est.

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

• digital_impl_mpsk_snr_est.h