多传感器多机动目标跟踪方法研究进展  

Research progress of multi sensor multiple maneuver target tracking methods

作　　者：朱志宇[1] 姜长生[2] 张冰[1] 

机构地区：[1]江苏科技大学电子信息学院,江苏镇江212003 [2]南京航空航天大学自动化学院,江苏南京210016

出　　处：《现代防御技术》2005年第5期60-66,共7页Modern Defence Technology

基　　金：船舶行业国防预研基金项目(01J3.17)

摘　　要：讨论了多传感器多机动目标的研究现状,分析了几种跟踪滤波器的性能,着重探讨了交互多模型(IMM)算法的发展状况和应用。同时还研究了多传感器跟踪多机动目标过程中的数据关联方法。最后指出,寻求采用自适应变结构的IMM算法,研究模型切换过程中算法的过渡性能,以及在数据关联中引入混沌、遗传算法等智能控制方法,将是未来多传感器多机动目标研究的方向。The research status of multi sensor multiple maneuver target tracking is discussed, as well as performance of several tracking filter is analyzed, stressing on development and application of interactive multi model algorithm. Data association method in multi sensor multi maneuver target tracking is simultaneously argued. Finally, the future research direction is pointed out which is to find adaptive varied structure IMM algorithm, study transition performance in model switch process, and introduce intelligent control idea, such as chaos and genetic algorithm in data association.

关 键 词：机动目标 跟踪 数据关联 交互多模型(IMM) 多传感器 自举滤波器 

分 类 号：TN911.7[电子电信—通信与信息系统]