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基于最小二乘滤波起始的机动目标被动跟踪方法
引用本文:刘春恒,梁彦,周东华.基于最小二乘滤波起始的机动目标被动跟踪方法[J].系统工程与电子技术,2003,25(4):458-461.
作者姓名:刘春恒  梁彦  周东华
作者单位:清华大学自动化系过程控制工程研究所,北京,100084
基金项目:国家自然科学基金(600253O7),教育部博士点基金(20020003063),国家“863”高技术计划资助项目
摘    要:针对仅有量测角的机动目标跟踪给出了基于最小二乘法的滤波器起始方法。该方法减少了伪量测估计方法的估计偏差,同时克服了基于最大似然估计算法计算复杂和容易陷入局部极值点的不足。该起始算法与交互式多模型(IMM)算法相结合实现了对机动目标的被动跟踪。计算机仿真验证了该方法的有效性。

关 键 词:目标运动分析  被动跟踪  交互式多模型  机动目标跟踪和自适应滤波
文章编号:1001-506X(2003)04-0458-04
修稿时间:2002年2月27日

Bearings-Only Tracking of a Maneuvering Target by Combining IMM with Filter Initialization Based on the Least Square Rule
LIU Chun-heng,LIANG Yan,ZHOU Dong-hua.Bearings-Only Tracking of a Maneuvering Target by Combining IMM with Filter Initialization Based on the Least Square Rule[J].System Engineering and Electronics,2003,25(4):458-461.
Authors:LIU Chun-heng  LIANG Yan  ZHOU Dong-hua
Abstract:In maneuvering target tracking with noised bearings-only measurements, the filter initialization is not satisfactory because the maximum likelihood estimation, as a prominent method, needs huge computation resources, while the local maximum points can not be avoided due to the rough initial value for parameter optimization. In this paper, we propose a new filter initialization method based on the linear least square rule so as to avoid the above shortcomings. In computer simulation to track a maneuvering target, our algorithm combining such a method with interacting multiple models is very effective.
Keywords:Target motion analysis  Passive tracking  EMM  Maneuvering target tracking and adaptive filtering
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