摘要
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.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | International Symposium on Photoelectronic Detection and Imaging 2007 - Laser, Ultraviolet, and Terahertz Technology |
| DOI | |
| 出版状态 | 已出版 - 2008 |
| 活动 | International Symposium on Photoelectronic Detection and Imaging 2007 - Laser, Ultraviolet, and Terahertz Technology - Beijing, 中国 期限: 9 9月 2007 → 12 9月 2007 |
出版系列
| 姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| 卷 | 6622 |
| ISSN（印刷版） | 0277-786X |
会议
| 会议 | International Symposium on Photoelectronic Detection and Imaging 2007 - Laser, Ultraviolet, and Terahertz Technology |
|---|---|
| 国家/地区 | 中国 |
| 市 | Beijing |
| 时期 | 9/09/07 → 12/09/07 |
指纹
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Ping, Q. W., & Xia, G. F. (2008). Study on the weak signal detection in the laser radar based on the chaos theory. 在 International Symposium on Photoelectronic Detection and Imaging 2007 - Laser, Ultraviolet, and Terahertz Technology 文章 66220O (Proceedings of SPIE - The International Society for Optical Engineering; 卷 6622). https://doi.org/10.1117/12.790792