Diversity in Shallow Water Environments Using Blind Time-Frequency Separation Techniques

Bertrand Gottin (1) , Jun Zhang (2) , Antonia Papandreou-Suppappola (3) , Cornel Ioana (1)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 SenSIP Center
3 SenSIP - Sensor Signal and Information Processing Center

The shallow water environment can be characterized as a time-dispersive system whose time-varying impulse response can be expressed as a superposition of time-frequency components with dispersive structures. In this paper, a blind timefrequency processing technique is employed to separate these components without knowledge of environmental parameters. This technique is based on first approximating the time-frequency structures of the received signal, and then designing separation filters based on time-frequency warping techniques. Based on this method, a receiver is developed to exploit the diversity of the channel and to improve communications performance.

Domains: Signal and Image Processing; Signal and Image processing

Bertrand Gottin, Jun Zhang, Antonia Papandreou-Suppappola, Cornel Ioana. Diversity in Shallow Water Environments Using Blind Time-Frequency Separation Techniques. ACSSC 2007 - 41st Annual Asilomar Conference on Signals Systems and Computers, Nov 2007, Pacific Grove, United States. ⟨hal-00326362⟩