本文讨论了小波神经网络在机动多目标跟踪中的应用,多目标跟踪就是主体为了维持对多个目标(客体)当前状态的估计而对所接收的量测信息进行处理的过程。以非线性大规模并行分布式处理为特征的神经网络可以解决传统的目标跟踪方法的难以解决的计算量组合爆炸问题以及需要确定机动目标的数学模型的问题, 将小波分析原理与神经网络相融合,提出了基于小波神经网络的目标跟踪方法来提高系统的学习能力、表达能力以及机动多目标状态的估计精度。-This article discusses the application of wavelet neural network in motorized multi-target tracking, multi-target tracking is the main measurement information received in order to maintain the current state of the multiple goals (guest) estimated processing. The nonlinear massively parallel distributed processing is characterized neural network can solve the traditional target tracking methods computational combinatorial explosion problem difficult to solve the mathematical model of the problem and the need to determine the maneuvering target, the principle of wavelet analysis and neural network fusion, target tracking method based on wavelet neural network to improve the system' s ability to learn, the ability to express and maneuvering multi-target state estimation accuracy.