Application of Neural Network Data Associating Method in the Radar Network System

摘要：

For data association problem during the multiple targets tracking in the Radar Network system, we proposed a kind of improved Discrete Hopfield Neural Network (DHNN) data associating method. We used the parallel computation and optimization ability of DHNN, and improved the global optimization ability of DHNN by modifying the energy function of DHNN and applying the simulated annealing algorithm to the status’s adjusting of DHNN. This method improved the tracking performance and shortened convergence time of the net-work. From the Monte Carlo simulation experiments, the association performance and compute velocity of the proposed method was proved higher.

关键词： Discrete Hopfield Neural Network (DHNN) Joint Probability Data Association (JPDA) Simulated Annealing (SA)

作者: Wang Lei Lu Yao-bin Wu Jian-feng

作者单位: Nanjing Research Institute of Electronics Technology, Nanjing,210039 School of Instrument Science and Engineering, Southeast University,Nanjing,210096

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 1680-1683

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）