Acoustic / seismic test and analysis system for typical battlefield targets is developed and properties of targets are acquired. Aiming at solving the drawback of extremely slow convergence speed of normal BP algorithm, a reformed BP algorithm is adopted to train the classifier. 通过建立战场目标声/地震动特性探测与分析系统,在总结目标特性规律、分析传统BP算法固有缺陷的基础上,采用改进的算法对分类器进行训练。