A Method for Underwater Acoustic Channel Estimation with Impulse Noise Suppression

Abstract

The invention provides a pulse noise suppression underwater acoustic channel estimation method, which belongs to the field of underwater acoustic signal processing. It relates to a method for suppressing impulse noise and realizing underwater acoustic channel estimation by using GAMP‑SBL. (1) Input the baseband received signal, dictionary matrix, iteration termination condition, and initial value of related parameters; (2) use GAMP‑SBL to estimate the impulse noise; (3) subtract the impulse noise estimation result from the baseband received signal; (4 ) Utilize GAMP-SBL to carry out underwater acoustic channel estimation; The advantage of the present invention is: utilize the sparsity of impulse noise on time domain, adopt to estimate impulse noise, and subtract it from baseband signal to suppress impulse noise, can Reduce the damage to the signal structure and improve the performance of impulse noise suppression.

Description

technical field [0001] The invention relates to an underwater acoustic signal processing method, in particular to an impulse noise suppression underwater acoustic channel estimation method, which is a method for suppressing impulse noise and realizing underwater acoustic channel estimation using generalized approximate message passing-sparse Bayesian learning (GAMP-SBL). A method for acoustic channel estimation. Background technique [0002] In general, underwater acoustic channel estimation algorithms assume that the background noise follows a Gaussian distribution. However, in some more complex underwater acoustic environments, the background noise may contain some impulsive noise. In this case, the algorithm assumed Gaussian noise will be affected by the impulsive noise and its performance will be degraded. Conventional impulse noise suppression methods are difficult to set a suitable filtering threshold, easily destroy the structure of the signal, and have poor suppress...

AI Technical Summary

Problems solved by technology

[0002] In general, underwater acoustic channel estimation algorithms assume that the background noise obeys a Gaussian distribution. However, in some more complex underwater acoustic environments, the background noise may contain some impulse noise

In this case, algorithms that assume Gaussian noise will suffer from impulsive noise and degrade performance

Conventional impulse noise suppression methods are difficult to set a suitable filtering threshold, easily destroy the signal structure, and have poor suppression performance on impulse noise

Images