基于整合概率数据关联的最优传感器序列研究  

Research on optimal sensor order in sequential integrated probability data association filter

作　　者：王洋[1] 敬忠良 胡士强 吴静静 

机构地区：[1]上海交通大学电子信息与电气工程学院 [2]航空航天学院,上海200240

出　　处：《控制与决策》2011年第8期1153-1157,共5页Control and Decision

基　　金：国家自然科学基金项目(60674107);航空科学基金项目(2009ZC57003)

摘　　要：研究多传感器跟踪系统中传感器处理序列优化问题.首先根据多传感器跟踪系统中多传感器信息的处理特点,提出了基于有限随机集的序列整合概率数据关联(IPDA)滤波算法;然后,通过分析序列IPDA算法中目标生存概率的均值函数,证明了在不同传感器检测概率的多传感器系统中,目标生存概率仅依赖于传感器序列中第1个传感器,并随其检测概率的增大而增大,仿真实验验证了所得结论.The optimal processing order of sensors with different qualities in multi-sensor system is investigated in this paper. A sequential implementation of the integrated probability data association（IPDA） algorithm under random set framework is derived based on the architectures for processing multi-sensor information. From analyzing the mean function of target existence probability in this sequential IPDA filter, conclusions are drawn that the posterior probability of target existence is only dependent on the first sensor in a sensor combination and is increased as its detection probability becomes higher. The deduced conclusions are demonstrated by two simulation results.

关 键 词：整合概率数据关联 有限随机集 传感器最优序列 

分 类 号：TP953[自动化与计算机技术]