On modeling sea clutter by noisy chaotic dynamics

被引：0
|
作者：
Tung, Wen-wen [1 ]
Hu, Jing [2 ]
Gao, Jianbo [2 ]
Lynch, Robert S. [3 ]
Chen, Genshe [4 ]
机构：
[1] Purdue Univ, Dept Earth & Atmospher Sci, W Lafayette, IN 47907 USA
[2] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
[3] Naval Undersea Warfare Ctr, Signal Proc Branch, Newport, RI 02841 USA
[4] DCM Res Resources LLC, Germantown, MD 20874 USA
来源：
SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION XVII | 2008年 / 6968卷
关键词：
D O I：
10.1117/12.777204
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Modeling sea clutter by chaotic dynamics has been an exciting yet heatedly debated topic. To resolve controversies associated with this approach, we use the scale-dependent Lyapunov exponent (SDLE) to study sea clutter. The SIDLE has been shown to be able to unambiguously distinguish chaos from noise. Our analyses of almost 400 sea clutter datasets measured by Professor Simon Haykin suggest that on very short time scales, sea clutter may be classified as noisy chaos, characterized by a parameter gamma, which characterizes the speed of information loss. It is shown that 7 can be used to very effectively detect low observable targets within sea clutter.
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页数：10
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