Group sparse underwater acoustic channel estimation with impulsive noise: Simulation results based on Arctic ice cracking noise

Ya-Nan Tian; Xiao Han; Jing-Wei Yin; Qing-Yu Liu; Lin Li

doi:10.1121/1.5129056

Group sparse underwater acoustic channel estimation with impulsive noise: Simulation results based on Arctic ice cracking noise

J Acoust Soc Am. 2019 Oct;146(4):2482. doi: 10.1121/1.5129056.

Authors

Ya-Nan Tian¹, Xiao Han¹, Jing-Wei Yin¹, Qing-Yu Liu², Lin Li¹

Affiliations

¹ Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China.
² Naval Research Academy, Beijing 100161, China.

PMID: 31671957
DOI: 10.1121/1.5129056

Abstract

Many underwater acoustic (UWA) channels exhibit impulsive noise, thereby severely degrading the performance of traditional channel estimation algorithms. This paper presents two channel estimation algorithms for impulsive noise, namely (i) the variable forgetting factor l_1,0 recursive least sign algorithm (VFF-l_1,0-RLSA) and (ii) the variable forgetting factor l_2,0 recursive least sign algorithm (VFF-l_2,0-RLSA), both of which exploit the group sparse multipath structure and maintain robustness under impulsive noise. By using the l₁ norm of the estimation error as part of the cost function, RLSAs are better at detecting and rejecting impulsive noise than the recursive least squares algorithms. A mixed l_1,0 or l_2,0 norm is incorporated with a RLSA to achieve better performance in group sparse UWA channel estimation. The time-varying forgetting factor and regularization parameter in the two proposed algorithms help to improve their performance. Simulation results based on Arctic ice cracking noise demonstrate the robustness and superiority of the two proposed algorithms.