Postprint version. Published in 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing Proceedings: Newport Beach, CA, June 7, 2010, pages 95-98.
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NOTE: At the time of publication, the author Bridget Benson was not yet affiliated with Cal Poly.
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.
Electrical and Computer Engineering