Chaotic weak signal detection in the long range laser rangefinders using neural network

XIA Gui-fen; ZHAO Bao-jun; HAN Yue-qiu

To solve the weak target detection under the clutter background,combined with dynamic chaotic model,the chaotic property of the laser echo signal is discussed and a novel algorithm is presented based on chaotic signal detection using neural network predictor.The weak signal in laser clutter background can be detected by means of the prediction error.The simulated results show the algorithm is effective.

Corresponding author: ZHAO Bao-jun, zbj@bit.edu.cn;

1. Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China

Received Date: 2005-09-27

Accepted Date: 2006-03-08

Available Online: 2006-09-25

Abstract: To solve the weak target detection under the clutter background,combined with dynamic chaotic model,the chaotic property of the laser echo signal is discussed and a novel algorithm is presented based on chaotic signal detection using neural network predictor.The weak signal in laser clutter background can be detected by means of the prediction error.The simulated results show the algorithm is effective.

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Reference (12)

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Chaotic weak signal detection in the long range laser rangefinders using neural network

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