基于小波神经网络的无线电引信目标识别新方法

New Radio Fuze Target Recognition Based on Wavelet Neural Network

设计了基于小波神经网络的无线电引信目标识别新方法.根据无线电引信回波多普勒信号功率主要集中在低频部分的特点,对淹没在噪声中的无线电引信回波信号进行小波分解,提取在不同频带内信号能量作为特征,用小波神经网络对目标进行检测.针对不同信噪比,对某典型无线电引信回波信号进行定量研究,实验结果表明该方法处理信号信噪比达-7 dB.

New radio fuze target recognition based on wavelet neural network is discussed in this paper.The radio fuze signal is first decomposed by wavelet transform,and on this basis,the decomposed coefficicients are reconstructed to form a new time series,from which some energy parameters can be extracted by time-domain analysis.The target signal is detected by wavelet neural network.The effectiveness of the method is verified by a typical radio fuze signals with different Signal-to-Noise Ratio（SNR）.The experimental results show that SNR processed by the method can reach-7dB.