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Proceedings Paper

Pattern classification approach to underwater acoustic communications based on the Wigner-Ville distribution
Author(s): Frank M. Caimi; Gamal A. Hassan
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Paper Abstract

This paper describes an approach and preliminary results associated with the use of pattern recognition techniques to identify transmitted information (symbols) in a temporally variant acoustic channel. The method allows the observation of the transmitted signal simultaneously in both time and frequency space and does not necessary rely on the application of adaptive algorithms for reception. The observation of the symbol energy from the Wigner-Ville Distribution as 2D pattern can allow the determination of channel characteristics over short symbol sequences and can provide a means for symbol detection. For the QPSK modulation used, wavelet filtering provides a basis for noise reduction and WVD cross tem separation. The process used for development of the pattern classifier is described and results are presented for shallow water acoustic data on a limited data set.

Paper Details

Date Published: 26 July 2000
PDF: 8 pages
Proc. SPIE 4045, Digital Wireless Communication II, (26 July 2000); doi: 10.1117/12.394091
Show Author Affiliations
Frank M. Caimi, Florida Institute of Technology (United States)
Gamal A. Hassan, Florida Institute of Technology (United States)

Published in SPIE Proceedings Vol. 4045:
Digital Wireless Communication II
Raghuveer M. Rao; Soheil A. Dianat; Michael D. Zoltowski, Editor(s)

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