针对宽带高距离分辨率雷达的工作体制，提出了一种基于多分辨分析和信息综合的目标识别算法。目标特征由小波变换在相邻分辨率上的能量之比的对数构成。利用多分辨分析，将目标特征分解为反映目标结构概貌的低通特征和刻画目标结构细节的高通特征。利用辐射基函数神经网络分别对目标的低通特征和高通特征进行识别判决，然后将基于目标的低通特征和高通特征的判决信息进行综合，得到最终的识别结果 Aimed at the working system of wideband and high range resolution radar, a target recognition algorithm based on multi-resolution analysis and information synthesis is proposed. The target feature consists of the logarithm of the energy ratio of the wavelet transform to the adjacent resolution. Using multi-resolution analysis, the target features are decomposed into low-pass features that reflect the structure of the target structure and high-pass features that characterize the target structure. Radiation basis function neural networks are used to identify the low-pass and high-pass features of the target separately, then the decision information based on the low-pass and high-pass features of the target is integrated to obtain the final recognition result