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Presentation
Channel equalization based on data reuse LMS algorithm for shallow water acoustic communication
2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing Proceedings: Newport Beach, CA
  • Feng Tong, Xiamen University
  • Bridget Benson, University of California - San Diego
  • Ying Li, University of California - San Diego
  • Ryan Kastner, University of California - San Diego
Publication Date
6-7-2010
Abstract
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.
Publisher statement
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Citation Information
Feng Tong, Bridget Benson, Ying Li and Ryan Kastner. "Channel equalization based on data reuse LMS algorithm for shallow water acoustic communication" 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing Proceedings: Newport Beach, CA (2010) p. 95 - 98
Available at: http://works.bepress.com/bbenson/2/