Multiple infrared sensors RIMM-EKF maneuvering target tracking algorithm

摘要：

To track a maneuvering target using infrared-sensor surveillance system,a reweighted interacting multiple model extended Kalman filter algorithm based on the central fusion scheme is proposed in this paper.To get better tracking precision,the multiple model method is improved by both the interacting process and the “reweighted operation,which is derived by alternating expectation conditional maximization algorithm.EKF is introduced to solve the nonlinearity of IR measurements,and multi-sensor central fusion scheme is adopted to solve the weak observability of IR system.The performance of the new method is evaluated by tracking a maneuvering target with coordinate turn motion,passively.The simulation results show that,comparing with IMM-EKF,the proposed algorithm could achieve higher tracking precision for maneuvering target with only small more computational costs.

关键词： infrared measurements maneuvering target tracking multiple model reweighted.

作者: Bai-sheng Yang Hong-bing Ji Xin Zhao

作者单位: School of Electronic Engineering,Xidian University,Xian,Shaanxi,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）