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Proceedings Paper

Chaotic Model Of Sea Clutter Using A Neural Network
Author(s): S. Haykin; H. Leung
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Paper Abstract

In this paper, we present new results that support the presence of a sea clutter attractor. In particular, we show that sea clutter waveform is deterministic, matchable almost exactly by the output of a nonlinear neural network model with enough degrees of freedom fairly close to the dimension of the attractor. The results presented herein are based on real-life radar data collected with an instrumentation-quality research facility.

Paper Details

Date Published: 14 November 1989
PDF: 4 pages
Proc. SPIE 1152, Advanced Algorithms and Architectures for Signal Processing IV, (14 November 1989); doi: 10.1117/12.962261
Show Author Affiliations
S. Haykin, McMaster University (Canada)
H. Leung, McMaster University (Canada)

Published in SPIE Proceedings Vol. 1152:
Advanced Algorithms and Architectures for Signal Processing IV
Franklin T. Luk, Editor(s)

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