Unified Maneuvering Model for Target Tracking by Using Range-rate Measurement  

作　　者：LEI Ming HAN Chongzhao CAI Kaiyuan CHEN Zengqiang 

机构地区：[1]State Key Laboratory for Manufacturing Systems Engineering, and School of Electronic and Information Engineering, Xi ＇ an Jiaotong University, Xi ＇an 710049, China [2]Department of Automatic Control, Beijing University of Aeronautics and Astronautics, Beijing 100083, Chinat [3]College of Information Technique Sciences, Nankai University, Tianjin 300071, ChinaI

出　　处：《Chinese Journal of Electronics》2008年第3期551-557,共7页电子学报（英文版）

基　　金：Manuscript Received Feb. 2007; Accepted Oct. 2007. This work is supported by the 40th National Postdoctoral Science Foundation of China （No.20060401000） and the National Natural Science Foundation of China （No.60574033）.

摘　　要：A novel Unified maneuvering model （UMM） for tracking the target performed the complex curvilinear motion in two dimensions is presented, where the model is constructed by time-varying parameters and driven by the along-track and cross-track acceleration in- put, and the range rate plays a key role to update vari- able parameters online. In Cartesian coordinates, by incorporating the cross-track acceleration component which is estimated online by using the range-rate, and the along- track acceleration component which is determined under the assumption of zero-mean first order Markovian process, the proposed UMM exhibits highly self-adjustment capability to compensate the mismatch between the actual motion and the mathematic model adaptively, espe-cially, shows a well capability to approximate the standard Interacting multiple model （IMM） under the situation of complex curvilinear motion and a higher level of the measurement noise. Simulation results validate our theory and show that UMM-based filtering is superior to that using the Current statistic model （CSM）, and has a well approx- imation to IMM, meanwhile, has a low computational load substantially.

关 键 词：Unified maneuvering model （UMM） Range-rate measurement Zero-mean first-order Marko-vian accelerative model Interacting multiple model（IMM） Current statistic model （CSM） Taylor series ex-pansion. 

分 类 号：TN953[电子电信—信号与信息处理]