摘要
为进一步扩大分布式多传感器的应用范围,基于概率最近邻域思想,研究了分布式多传感器概率最近邻域算法,并对其与分布式多传感器联合概率数据互联算法进行了性能仿真分析。经仿真验证,分布式多传感器概率最近邻域算法能够解决多传感器多目标跟踪问题,且实时性有较大提高。
To expand the application of distributed multisensor, based on probabilistic nearest neighbor standard function, distributed multisensor probabilistic nearest neighbor standard function was proposed. The performance comparison and analysis of distributed multisensor probabilistic nearest neighbor standard function and distributed multisensor joint probabilistic data association algorithm was presented. The simulation results showed that distributed multisensor probabilistic nearest neighbor standard function could solve the problem of multisensor multitarget tracking well, of which the runtime reduced greatly.
出处
《海军航空工程学院学报》
2009年第2期202-206,共5页
Journal of Naval Aeronautical and Astronautical University
基金
教育部新世纪优秀人才支持计划资助(NCET-05-0912)
国家自然科学基金资助(60672140)
全国优秀博士论文作者专项资金(200237)
关键词
分布式
概率最近邻域
多传感器多目标
性能分析
distributed
probabilistic nearest neighbor standard function
multisensor multitarget
performance analysis