一种新的杂波环境下的多目标跟踪算法研究  

Research of a New Algorithm on Multitargets Tracking in Clutter

作　　者：齐立峰[1,2] 冯新喜[1] 惠小平[2] 李峰[1] 

机构地区：[1]空军工程大学电讯工程学院,陕西西安710077 [2]空军工程大学导弹学院,陕西三原713800

出　　处：《现代防御技术》2009年第2期72-76,90,共6页Modern Defence Technology

摘　　要：杂波中的多目标的跟踪研究面临许多挑战。目标轨迹受多种动作制约,而且杂波通常是实质的非同质杂波。在多目标状态下,量测任务的计算量可能随航迹数和量测数呈指数增长,LMIPDA-IMM算法解决了这一问题。IMM算法可用来跟踪机动目标,LMIPDA算法计算目标存在概率,能够进行错误航迹的识别,从而航迹可自动起始和终结。LMIPDA提供了线性运算的航迹数和量测数多目标数据关联,仿真结果表明该算法在很强的非同质杂波中是很有效的。Tracking of multitargets in clutter presents a number of challenges. Target trajectories meet various motion constraints, substantial non-homogenous clutter is usually present. In muhitarget situations measurement assignment may be computationally challenging as the number of operations increa- ses exponentially with number of tracks and number of measurements, LMIPDA - IMM is used to provide a solution to these issues. IMM is used to tracking ground targets with motion constraints and/or maneuvers, LMIPDA is used to calculate the probability of target existence for false track discrimination to enable automatic track initiation and termination. Muhitarget data association with number of operations linear in the number of tracks and the number of measurements is provided by LMIPDA, simulation studies illustrate the effectiveness of this approach in an environment of heavy non-homogenous clutter.

关 键 词：目标跟踪 概率数据关联 综合概率数据关联 线性多目标 交互式多模型 

分 类 号：TN953[电子电信—信号与信息处理] TP301.6[电子电信—信息与通信工程]