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Monday, July 8 • 16:30 - 16:50
SPARSE UNDERWATER ACOUSTIC CHANNEL ESTIMATION UNDER IMPULSIVE NOISE ENVIRONMENTS

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In many instances, the ambient ocean noise is impulsive in nature. Classical channel estima-tion methods optimized for Gaussian noise suffer serious performance degradation even when the noise is slightly impulsive. This paper deals with the problem of sparse underwater acoustic (UWA) channel estimation under impulsive noise environments with non-Gaussian distribution. Channel estimation is realized based on the recursive least p-norm (RLP) algorithm which has been proved to be robust under impulsive noise environment. L10 or L20 norm is incorporated to the cost function to take advantage of the group sparse nature of UWA channel. Simulation results show that the proposed RLP can resist the influence of the impul-sive noise and L10-RLP and L20-RLP has better estimation performance regardless of Gaussian or non-Gaussian noise when group sparse channel encountered.

Moderators
avatar for VENUGOPALAN PALLAYIL

VENUGOPALAN PALLAYIL

DEPUTY HEAD/SENIOR RESEARCH FELLOW, ACOUSTIC RESEARCH LAB, NATIONAL UNIVERSITY OF SINGAPORE
A senior researcher with 30 years of experience in underwater acoustics research. Senior member of IEEE, Member of IIAV, ASA and Society of Acoustics Singapore. IEEE OES AdCom and JOAB member, General Chair for OCEANS 2020 Singapore and co-Chair for ICSV 28 Singapore. See my technical... Read More →

Authors

Monday July 8, 2019 16:30 - 16:50 EDT
Westmount 5
  T12 Underwater & marit. noise, RS01 Underwater sound