红外与毫米波学报2002，Vol.21Issue(1)：1-5,5.
基于小波神经网络的毫米波雷达目标距离像识别
IDENTIFICATION ON TARGET PROFILES OF MMW RADAR BASED ON WAVELET NEURAL NETWORK
摘要
Abstract
An artificial neural network with the hidden layer consisting of wavelets was presented for the identification on target profiles of step frequency MMW radar. The good localization characteristics of wavelet functions in both time and frequency space allowed hierarchical multi-resolution learning of input-output data mapping. The mathematic frame of the neural network and error back propagation algorithm were introduced. The procedure of the identification which uses wavelet neural network was described in detail. Then the presented approach was applied to the target profile identification of step frequency MMW radar. The results indicate that the method is valuable for target profile identification.关键词
小波/神经网络/多分辨分析/目标识别/雷达信号/图像处理Key words
wavelet/neural network/multi-resolution analysis/target identification/radar signal/image processing.wavelet/neural network/multi-resolution analysis/target identification/radar signal/image processing分类
信息技术与安全科学引用本文复制引用
李跃华,张胜,高敦堂,李兴国..基于小波神经网络的毫米波雷达目标距离像识别[J].红外与毫米波学报,2002,21(1):1-5,5.基金项目
国防预研基金(编号95J5.15)资助项目 （编号95J5.15）
