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Proceedings Paper

On modeling sea clutter by diffusive models
Author(s): Jing Hu; Wen-wen Tung; Jianbo Gao; Robert S. Lynch; Genshe Chen
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Paper Abstract

Sea clutter, the radar backscatter from the ocean surface, has been observed to be highly non-Gaussian. K distribution is among the best distributions proposed to fit non-Gaussian sea clutter data. Using diffusive models, K distributed sea clutter can be casted as a Gaussian speckle, with a de-correlation time of 0.1 s, modulated by a Gamma distribution, with a de-correlation time of about 1 s, characterizing the large scale structures of the sea surface. Our analyses of large amounts of real sea clutter data suggest that between the time scales for the Gaussian speckle and large scale structures on the sea surface to de-correlate, sea clutter can be characterized as multifractal 1/f processes. This is the feature that is not captured by diffusive models and underlies why K distribution cannot fit real sea clutter data sufficiently well. We surmise that by combining K distribution and associated diffusive models with multifractal formalism, the many different physical processes underlying sea clutter can be more comprehensively characterized.

Paper Details

Date Published: 22 April 2008
PDF: 10 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69681F (22 April 2008); doi: 10.1117/12.777202
Show Author Affiliations
Jing Hu, Univ. of Florida (United States)
Wen-wen Tung, Purdue Univ. (United States)
Jianbo Gao, Univ. of Florida (United States)
Robert S. Lynch, Naval Undersea Warfare Ctr. (United States)
Genshe Chen, DCM Research Resources LLC (United States)


Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)

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