22 February 2008 Study on the weak signal detection in the laser radar based on the chaos theory
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Proceedings Volume 6622, International Symposium on Photoelectronic Detection and Imaging 2007: Laser, Ultraviolet, and Terahertz Technology; 66220O (2008) https://doi.org/10.1117/12.790792
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China
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.
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Qing-wei Ping, Gui-fen Xia, "Study on the weak signal detection in the laser radar based on the chaos theory", 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; https://doi.org/10.1117/12.790792
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