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Proceedings Paper

Study on the weak signal detection in the laser radar based on the chaos theory
Author(s): Qing-wei Ping; Gui-fen Xia
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Paper Abstract

In this paper, we present a new method for the weak signal detection in the laser radar, which is based on that the laser echo is characteristic with chaos. The method is naturally rooted in nonlinear dynamical systems and relies on neural networks for its implementation. At first, this paper used the observed data to analyze the chaotic characteristics of the laser radar backscatter by calculating the chaotic character parameters, including correlation dimension, Lyapunov exponent and local predictability. Then the predictor model based on BP neural network is proposed. Experiment results show that the BP neural network predictor is a better math model. It is valuable for signal detection in chaotic series.

Paper Details

Date Published: 22 February 2008
PDF: 10 pages
Proc. SPIE 6622, International Symposium on Photoelectronic Detection and Imaging 2007: Laser, Ultraviolet, and Terahertz Technology, 66220O (22 February 2008); doi: 10.1117/12.790792
Show Author Affiliations
Qing-wei Ping, Beijing Institute of Technology (China)
Gui-fen Xia, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 6622:
International Symposium on Photoelectronic Detection and Imaging 2007: Laser, Ultraviolet, and Terahertz Technology

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