BP网络自适应消噪方法在无线电引信中的应用

The Application of Adaptive Denoising Method Based on BP Network in Radio Fuze

为了消除无线电引信接收回波中的背景噪声,根据引信工作环境特点,提出一种基于BP神经网络的非线性自适应滤波方法。该方法不依赖信号和噪声的先验知识,利用神经网络的高并行性和非线性计算能力,避开了冗繁的计算,能有效地消除噪声。仿真分析表明,该方法能以较快的速度给出在最小均方误差意义下主通道噪声信号的最佳近似,从而使滤波系统得到高信噪比的输出信号。为无线电引信消噪设计提供了一种新的参考。

To eliminate background noises of radio fuze echo,a non-linear adaptive filtering method based on BP network is presented,which needs no transcendental informations of useful signals and noises.In virtue of the neural network＇s high parallel processing and nonlinear compution capabilities.The method can effectively denoise without complicated calculation.Simulation indicates that the method finds main path noises optimal approximation based on minimum MSE and gets outputs signals with high SNR.The method provides a new reference for denoising design of radio fuze.