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基于概率最近邻域算法的分布式多传感器多目标跟踪算法
引用本文:车志宇,王海鹏,董云龙.基于概率最近邻域算法的分布式多传感器多目标跟踪算法[J].海军航空工程学院学报,2009,24(2):202-206.
作者姓名:车志宇  王海鹏  董云龙
作者单位:1. 海军航空工程学院,电子信息工程系,山东,烟台,264001
2. 海军航空工程学院,信息融合技术研究所,山东,烟台,264001
3. 海军航空工程学院,科研部,山东,烟台,264001
基金项目:教育部新世纪优秀人才支持计划,国家自然科学基金,教育部全国优秀博士学位论文作者专项基金 
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。

关 键 词:分布式  概率最近邻域  多传感器多目标  性能分析

Distributed Multisensor Multitarget Tracking Algorithm Based on Probabilistic Nearest Neighbor Standard Function
CHE Zhi-yu,WANG Hai-peng and DONG Yun-long.Distributed Multisensor Multitarget Tracking Algorithm Based on Probabilistic Nearest Neighbor Standard Function[J].Journal of Naval Aeronautical Engineering Institute,2009,24(2):202-206.
Authors:CHE Zhi-yu  WANG Hai-peng and DONG Yun-long
Institution:Naval Aeronautical and Astronautical University a. Department of Electronic and Information Engineering;b. Institute of Information Fusion Technology;c. Department of Scientific Research;Yantai Shandong 264001;China
Abstract: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 functio...
Keywords:distributed  probabilistic nearest neighbor standard function  multisensor multitarget  performance analysis  
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