基于神经网络的机动多目标数据关联算法

摘要

Though the Joint of Probabilistic Data Association (JPDA) algorithm has been previouslyreported to be suitable for the problem of tracking multiple targets in the presence of clutter, thecomplexity of this algorithm increases rapidly with the number of targets and returns. A neural algorithmhas been suggested after studying how the Hopfield neural net resolved the traveling salesman problem%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