DocumentCode :
1227984
Title :
Time-Frequency Characterization and Receiver Waveform Design for Shallow Water Environments
Author :
Zhang, Jun Jason ; Papandreou-Suppappola, Antonia ; Gottin, Bertrand ; Ioana, Cornel
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Volume :
57
Issue :
8
fYear :
2009
Firstpage :
2973
Lastpage :
2985
Abstract :
We investigate a frequency-domain characterization of shallow water environments based on normal-mode models of acoustic mediums. The shallow water environment can be considered as a time-dispersive system whose time-varying impulse response can be expressed as a superposition of time-frequency components with dispersive characteristics. After studying the dispersive characteristics, a blind time-frequency processing technique is employed to separate the normal-mode components without knowledge of the environment parameters. This technique is based on first approximating the time-frequency structure of the received signal and then designing time-frequency separation filters based on warping techniques. Following this method, we develop two types of receivers to exploit the diversity inherent in the shallow water environment model and to improve underwater communication performance. Numerical results demonstrate the dispersive system characterization and the improved processing performance of the receiver structures.
Keywords :
acoustic signal processing; approximation theory; blind source separation; dispersive channels; filtering theory; time-frequency analysis; time-varying channels; transient response; underwater acoustic communication; approximation theory; blind time-frequency processing technique; normal-mode model; receiver waveform design; shallow water environment; time-dispersive system; time-frequency characterization; time-frequency separation filter; time-varying impulse response; underwater acoustic signal processing; warping technique; Dispersive channels; time-dispersion diversity; time-frequency analysis; time-frequency mode separation; underwater acoustic communication;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2009.2020363
Filename :
4811961
Link To Document :
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