Joint Sparse Recovery Estimation of Underwater Acoustic Single-input-multiple-output Channels

doi:10.3969/j.issn.1000-1093.2015.12.015

Abstract

Abstract: Underwater single-input-multiple-output (SIMO) system enables the exploitation of space diversity to achieve performance enhancement. Considering that the vertical correlation radius of underwater channels is usually larger than the distance between array elements, the sparse structures of SIMO channels response exhibit considerable correlation feature. A channel estimation algorithm under the framework of distributed compressed sensing（CS）is presented to perform the joint sparse recovery estimation of SIMO channel via simultaneous orthogonal matching pursuit (OMP). Compared with the traditional CS channel estimation algorithms which only exploit the sparsity of single channel, the proposed algorithm is capable of employing the joint sparse correlation of SIMO channels to improve the performance of SIMO channel estimation. The simulation and field experimental results show that the proposed algorithm effectively improves the performance of SIMO channel estimation in terms of estimation accuracy and communication quality, especially under low signal-noise ratio.

Key words: acoustics, single-input-multiple-output, joint sparse recovery, distributed compressed sensing, underwater acoustic channel estimation

CLC Number:

TN929.3

ZHOU Yue-hai，CAO Xiu-ling，TONG Feng，CHEN Dong-sheng. Joint Sparse Recovery Estimation of Underwater Acoustic Single-input-multiple-output Channels[J]. Acta Armamentarii, 2015, 36(12): 2321-2329.

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