摘要
针对机动目标跟踪问题,首先推导了马尔可夫参数自适应IFIMM算法自适应调节模型切换矩阵的必要条件,进一步分析了马尔可夫矩阵修正IMM跟踪算法的适用局限性.通过重新定义模型误差压缩率之比,提出了一种改进的马尔可夫参数自适应IMM算法,并阐述了误差压缩率之比的特性.最后进行了仿真实验并指出了马尔可夫自适应IMM算法的适用范围.
To solve the maneuvering target tracking problem, firstly, the essential condition of adaptive adjusting model based on adaptive Markov parameter IFIMM algorithm is deduced. Then the limitation of adaptive Markov parameter IMM algorithm is further analyzed. Through redefining the error compression ratio between models, an improved adaptive Markov parameter IMM algorithm is proposed, and the character of the error compression ratio is elaborated. Finally, application scope of improved adaptive Markov parameter IMM algorithm is delimited by simulation experiments.
作者
戴定成
姚敏立
蔡宗平
何恒
DAI Ding-cheng YAO Min-li CAI Zong-ping HE Heng(Department of Information Engineering, Rocket Force University of Engineering ,Xi ＇ an, Shaanxi 710025, China Department of Automation, Rocket Force University of Engineering, Xi＇ an, Shaanxi 710025, China)
出处
《电子学报》
EI
CAS
CSCD
北大核心
2017年第5期1198-1205,共8页
Acta Electronica Sinica
基金
国家自然科学基金(No.61179005)
关键词
目标跟踪
交互式多模型
马尔可夫矩阵
后验信息
target tracking
interacting multiple model（IMM）
Markov matrix
posterior information
