基于LMfr-IPDA的有限传感器分辨率多目标跟踪  

Finite resolution multitarget tracking based on LMfr-IPDA

作　　者：殷业飞[1] 黄树彩[1] 陈治湘[2] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800 [2]空军指挥学院科研部,北京100097

出　　处：《控制与决策》2010年第6期911-915,共5页Control and Decision

基　　金：国家863计划项目(2006AA701046)

摘　　要：以往的目标跟踪算法大多假定传感器分辨率是无限的,即量测与目标一一对应,而这并不符合实际.对此,提出一种利用线性多目标(LM)跟踪算法简化结构获得LM有限分辨率(LMfr)跟踪算法,并将其与集成概率数据关联(IPDA)相结合,推导出LMfr-IPDA多目标跟踪算法.仿真实验中,注重于虚假航迹的辨别性能与航迹保持能力,将LMfr-IPDA与LM-IPDA和IPDA在杂波环境中使用有限分辨率传感器对6个交叉目标的目标跟踪性能进行了比较,从而验证了算法的有效性.A vast majority of target tracking algorithms are developed with the assumption of infinite sensor resolution,where a measurement only has one source.This assumption is not valid for real sensors.Therefore,a multi-target tracking algorithm is presented,which utilizes a simple structure of LM tracking procedure to obtain a LM finite resolution（LMfr） tracking procedure.Then the method is combined with IPDA to form a multi-target tracking method which is the so-called LMfr-IPDA.A simulation study is presented which compares LMfr-IPDA with LM-IPDA and IPDA target tracking in a cluttered environment utilizing a finite resolution sensor with six crossing targets.The study concentrates on the false track discrimination performance and the track retention capabilities.The simulation results show the effectiveness of the method.

关 键 词：多目标跟踪 有限分辨率 概率数据关联 集成概率数据关联 线性多目标 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]