期刊文献+

一种非合作双基地雷达目标跟踪方法 被引量:2

A Method of Multi-target Tracking Based on Bastatic Passive Radar
下载PDF
导出
摘要 针对非合作双基地雷达系统的特点,提出了一种能快速找到航迹的目标跟踪处理方法。该方法首先用基于速度的方法起始可能航迹,然后利用跟踪波门技术对后续的测量点集进行相关性检测,接着进入Kalman方法预后续点迹位置的阶段,然后用最近邻域(NN)法搜索出属于该可能航迹的所有点迹,最后进行航迹的确认并开始搜索新的目标航迹。以实测数据为例进行实验,验证了该方法对非合作雷达系统目标跟踪的有效性。 According to the characteristic of passive radar,a new method of multi-target track processing based on kalman filter track is presented. In this method,approach based on velocity rule( as formula 17) is used firstly to find possible track,an adaptive association gate is adopted to associate with successive measurements,then use Kalman filter to predict locations of successive measurements,nearest neighouring method is used to search all points belong to the possible track and finally confirmed track and go to the next cycle to find new target track. Experiments with real data were compared to traditional EKF,the valid performance of this approach is verified.
出处 《科学技术与工程》 北大核心 2015年第29期153-157,共5页 Science Technology and Engineering
基金 国家自然科学基金(No.61401489)资助
关键词 非合作 双基地雷达 目标跟踪 航迹处理 EKF passive radar multi-target tracking track processing Kalman filter
  • 相关文献

参考文献7

  • 1Baniak J, Baker G, Cunningham A M, et al. Silent SentryTM: pas- sive surveillance, Tech Rep Gaithersburg, MD : Lockheed Martin Mission Systems, 1999.
  • 2Hu Z, Leung H. Statistical performance analysis of track Initiation techniques. IEEE Trans on Signal Processing, 1997 ;45 (2) :445--456.
  • 3Chen Huimin, Li X R, Bar-Shalom Y. On joint track initiation and pa- rameter estimation under measurement origin uncertainty. IEEE Transac- tions on Aerospace and Electronic Systems, 2004;40(2) :675-694.
  • 4James C N, Brodazik S R. Radar data processing and visualization over complex terrain, http://www, docin, com. 2014 -06 -01.
  • 5Bar-Shalom, Li X R, Kirubarbjan T. Estimation with applications to tracking and navigation: theory, algorithms and software. New York: Wiley, 2010.
  • 6宫峰勋,戴丽华,马艳秋.自适应选取聚类中心K-means航迹起始算法[J].哈尔滨工业大学学报,2014,46(5):113-119. 被引量:9
  • 7Yardim C, Gerstoft P, Hodgkiss W S. Tracking refractivity from clut- ter using kalman and particle Filters IEEE Trans on Antennas and Propagation, 2008 ;56(4) : 1060-1069.

二级参考文献16

  • 1苏峰,王国宏,何友,夏明革.修正的逻辑航迹起始算法[J].现代防御技术,2004,32(5):66-68. 被引量:28
  • 2吴丹,冯新喜.多雷达多目标航迹起始算法研究[J].空军工程大学学报(自然科学版),2006,7(1):16-19. 被引量:11
  • 3蒲勇,袁富宇,苗艳.常用航迹初始化技术分析[J].指挥控制与仿真,2006,28(1):98-101. 被引量:3
  • 4汤琦,黄建国,杨旭东.航迹起始算法及性能仿真[J].系统仿真学报,2007,19(1):149-152. 被引量:24
  • 5何友,王国宏,陆大劲,等.多传感器信息融合及应用[M].北京:电子工业出版社,2010:230-231.
  • 6CHEN Xiaowei,LIN Jiajun,ZHANG Jie.Performanceanalysis of track initiation algorithm[C]/ / Proceedings ofthe World Congress on Intelligent Control and Automation(WCICA).Dalian,China: Institute of Electrical andElectronics Engineers Inc,2006: 4239-4243.
  • 7QING Xiaoping,ZHENG Shijue.A new method forinitialising the K?means clustering algorithm[C]/ /20092nd International Symposium on Knowledge Acquisitionand Modeling( KAM,2009).Wuhan,China: IEEEComputer Society,2009: 41-44.
  • 8SHI Na,LIU Xumin,GUAN Yong.Research on K?means clustering algorithm: an improved K?meansclustering algorithm[C]/ /3rd International Symposiumon Intelligent Information Technology and SecurityInformatics(IITSI 2010).Jinggangshan,China: IEEEComputer Society,2010: 63-67.
  • 9WILKIN G A,HUANG Xiuzhen.K?means clusteringalgorithms: implementation and comparison [ C ]/ /Proceedings- 2nd International Multi - Symposiums onComputer and Computational Sciences( IMSCCS '07).Iowa City,IA,United states: Inst of Elec and Elec EngComputer Society,2007: 133-136.
  • 10REUTER S,DIETMAYER K.Adapting the stateuncertainties of tracks to environmental constraints[C]/ /13th Conference on Information Fusion(Fusion2010).Edinburgh,United Kingdom: IEEE ComputerSociety,2010: 1-7.

共引文献8

同被引文献37

引证文献2

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部