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Channel Equalization Based on Data Reuse LMS Algorithm for Shallow Water Acoustic Communication

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4 Author(s)
Feng Tong ; Key Lab. of Underwater Acoust. Commun. & Marine Inf. Technol. of the Minister of Educ., Xiamen Univ., Xiamen, China ; Benson, B. ; Ying Li ; Kastner, R.

In recent years, there has been increasing interest in the design of underwater acoustic modems for marine environmental monitoring, underwater structure inspection and sea bottom resource exploitation. As underwater acoustic channels pose difficulties such as multipath, time-space selectivity, frequency dependent noise, and Doppler shifts on transmission, research on adaptive equalizers play an important role in the design of underwater modems. This paper presents a data reuse least mean square (DR-LMS) algorithm to achieve equalization performance with low computational complexity to facilitate a practical hardware implementation. Experimental results obtained in physical shallow water channels demonstrate the effectiveness of the proposed method compared to classic LMS (Least mean square) and RLS (Recursive least square) algorithms.

Published in:

Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC), 2010 IEEE International Conference on

Date of Conference:

7-9 June 2010

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