固体火箭技术2016，Vol.39Issue(4)：574-579,600,7.DOI:10.7673/j.issn.1006-2793.2016.04.023
机动目标多传感器组网空间配准方法
Multi-sensor space registration for maneuvering target tracking
摘要
Abstract
For the maneuvering target tracking problem with multi⁃sensor bias,a two⁃stage extended Kalman filter based on in⁃teracting multiple model(IMM⁃TSEKF)algorithm was proposed in this paper.The algorithm decoupled the augmented filter into two parallel reduced⁃order filter⁃one for state estimation and another for bias estimation.Firstly,the two⁃stage extended Kalman filter for the case of nonlinear system was employed.Secondly,the IMM⁃TSEKF algorithm for the purpose of maneuvering target tracking and space registration was adopted.Besides,the time complexity of the algorithm was analyzed.Lastly,the tactical ballistic missile using spiral maneuver was utilized as maneuvering target for space registration and target tracking.Simulation results show that the presen⁃ted algorithm has higher computation efficiency and similar performance compared with traditional augmented state Kalman filter.关键词
两阶段Kalman滤波/交互多模型/目标跟踪/空间配准Key words
two-stage Kalman filter/interacting multiple model/maneuvering target tracking/space registration分类
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方峰,蔡远利..机动目标多传感器组网空间配准方法[J].固体火箭技术,2016,39(4):574-579,600,7.基金项目
国家自然科学基金（61202128）；宇航动力学国家重点实验室开放基金（2011ADL-JD0202）。 （）
