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Optimal set integer programming algorithm for multiple maneuvering targets tracking in clutter
  • ISSN号：1004-4132
  • 期刊名称：《系统工程与电子技术：英文版》
  • 时间：0
  • 分类：TN953[电子电信—信号与信息处理;电子电信—信息与通信工程] O221.4[理学—运筹学与控制论;理学—数学]
  • 作者机构：[1]School of Mathematics and System Science, Beihang University, Beijing 100191, China, [2]College of Information Engineering, Capital Normal University, Beijing 100048, China, [3]Department of Systems and Control, Beijing Information Science and Technology University, Beijing 100283, China
  • 相关基金：supported by the National Natural Science Fundation of China （61203238; 61134005; 60921001; 90916024; 91116016）; the National Basic Research Program of China （973 Program） （2012CB821200;2012CB821201）; the National Science Foundation for Postdoctoral Scientists of China （2012M520140）
作者： Xiaoyan Fu[1,2], Yingmin Jia[1], Xiaohe Liu[3]
关键词： 机动目标跟踪算法, 整数规划, 杂波, 优化, 多目标跟踪, 交互多模型, 规划问题, 数据关联, data association, target tracking, integer programming, clutter.
中文摘要：

The aim of this paper is to solve the problems of multitarget tracking in clutter. Firstly, the data association of measurement-to-target is formulated as an integer programming problem. Through using the linear programming (LP) based branchand-bound method and adjusting the constraint conditions, an optimal set integer programming (OSIP) algorithm is then proposed for tracking multiple non-maneuvering targets in clutter. For the case of maneuvering targets, this paper introduces the OSIP algorithm into the filtering step of the interacting multiple model (IMM) algorithm resulting in the IMM based on OSIP algorithm. Extensive Monte Carlo simulations show that the presented algorithms can obtain superior estimations even in the case of high density noises.

英文摘要：

The aim of this paper is to solve the problems of multitarget tracking in clutter. Firstly, the data association of measurement-to-target is formulated as an integer programming problem. Through using the linear programming （LP） based branchand-bound method and adjusting the constraint conditions, an optimal set integer programming （OSIP） algorithm is then proposed for tracking multiple non-maneuvering targets in clutter. For the case of maneuvering targets, this paper introduces the OSIP algorithm into the filtering step of the interacting multiple model （IMM） algorithm resulting in the IMM based on OSIP algorithm. Extensive Monte Carlo simulations show that the presented algorithms can obtain superior estimations even in the case of high density noises.

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期刊信息
  • 《系统工程与电子技术：英文版》
  • 主管单位:中国航天机电集团
  • 主办单位:中国航天工业总公司二院
  • 主编：高淑霞
  • 地址：北京海淀区永定路52号
  • 邮编：100854
  • 邮箱：jseeoffice@126.com
  • 电话：010-68388406 68386014
  • 国际标准刊号：ISSN：1004-4132
  • 国内统一刊号：ISSN：11-3018/N
  • 邮发代号:82-270
  • 获奖情况:
  • 航天系统优秀期刊奖,美国工程索引（EI）和英国科学文摘（SA）收录
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,美国科学引文索引（扩展库）,英国科学文摘数据库
  • 被引量:242