26 July 2000 Pattern classification approach to underwater acoustic communications based on the Wigner-Ville distribution
Author Affiliations +
Proceedings Volume 4045, Digital Wireless Communication II; (2000); doi: 10.1117/12.394091
Event: AeroSense 2000, 2000, Orlando, FL, United States
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank M. Caimi, Gamal A. Hassan, "Pattern classification approach to underwater acoustic communications based on the Wigner-Ville distribution", Proc. SPIE 4045, Digital Wireless Communication II, (26 July 2000); doi: 10.1117/12.394091; https://doi.org/10.1117/12.394091
PROCEEDINGS
8 PAGES


SHARE
KEYWORDS
Acoustics

Signal detection

Wavelets

Interference (communication)

Pattern recognition

Receivers

Image classification

Back to Top