摘要
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)
Though the Joint of Probabilistic Data Association (JPDA) algorithm has been previously reported to be suitable for the problem of tracking multiple targets in the presence of clutter,the complexity of this algorithm increases rapidly with the number of targets and returns.A neural algorithm has been suggested after studying how the Hopfield neural net resolved the traveling salesman problem.
出处
《火力与指挥控制》
CSCD
2000年第3期61-64,共4页
Fire Control & Command Control
基金
中国兵器工业总公司"九五"预研资助项目!(G960 2 )
