虽然 JPDA被公认为是杂波多目标环境下跟踪效果最理想的数据关联算法之一 ,但在密集回波情况下其计算量易出现组合爆炸现象 ,难于实时处理。通过对 Hopfield网络解决 TSP问题的研究 ,探讨用神经网络解决联合概率数据关联(JPDA)中数据运算的组合爆炸问题的办法 Although JPDA is widely accepted as one of the most effective data correlation algorithms in clutter and multi-target environment, it is easy to deal with combinatorial explosions in dense computation. Through the research on solving TSP problem in Hopfield network, this paper discusses how to solve combinatorial explosion problem of data operation in Joint Probabilistic Data Association (JPDA) by using neural network