基于神经网络的远程激光测距机混沌弱信号检测

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

为了解决杂波背景下的激光微弱目标检测的问题,结合混沌动态建模思想,讨论了激光回波的混沌特性,提出激光信号非线性混沌序列的神经网络建模、预测及信号检测算法。利用预测误差检测到激光杂波中的有用弱信号。仿真结果表明,这种方法是比较有效的。

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.