期刊文献+

A-SMGCS的多场面监视雷达多目标航迹相关 被引量:5

Multi-SMR Multi-Target Tracking Correlation of A-SMGCS
下载PDF
导出
摘要 航迹融合由航迹相关和航迹合成组成,航迹相关是航迹融合的前提;针对先进场面运动引导控制系统(A-SGMCS)中场面监视雷达对目标的跟踪,文中研究了多场面监视雷达的多目标航迹相关问题;首先,建立分布式多场面监视雷达多目标航迹融合的总体框架,利用GPS授时和外推内插的方式进行场面监视雷达的同步,利用坐标平移实现空间对准;然后,介绍基于层次划分思想的聚类算法,再利用此方法进行多场面监视雷达多目标跟踪的航迹相关研究;最后,进行了仿真验证;仿真结果表明,文中所采用的方法对目标数确定和不确定的航迹都能够进行正确相关,有效地解决了场面监视雷达的航迹相关问题。 Tracking fusion is composed of tracking correlation and status estimation. Tracking correlation is the key of tracking fusion. To realize the Surface Movement Radar (SMR) tracking of maneuvering target in Advanced Surface Movement Guidance and Control System (A--SMGCS), the technique of tracking correlation is studied. Firstly, the general frame of multi--SMR mutli--target tracking fusion is built. The synchronous of SMR is realized by utilizing GPS time service and extrapolation interpolation algorithm to realize time alignment. By translating coordination to realize spatial alignment. Next, the clustering algorithm based on hierarchical division is introduced. Then , the clustering algorithm is used to study the multi--SMR multi--target tracking correlation. Finally, the simulation results show the algo- rithm can make correct tracking correlation whether the number of target is certain or uncertain, and it is effective in solving the Multi--SMR tracking correlation problem.
出处 《计算机测量与控制》 CSCD 北大核心 2012年第8期2183-2186,共4页 Computer Measurement &Control
基金 国家自然科学基金(61179066) 南京航空航天大学基本科研业务费专项科研项目(NS2010173)资助
关键词 目标跟踪 航迹相关 场面监视雷达 层次划分 target tracking tracking correlation surface movement radar hierarchical division
  • 相关文献

参考文献10

  • 1吕小平编著..空中交通管理文集[M].北京:航空工业出版社,2009:356.
  • 2ICAO. Advanced surface movement guidance and control systems manual [Z]. US. ICAO--9830, 2004. 被引量:1
  • 3何宝林..多雷达航迹关联与融合技术研究[D].北京工业大学,2010:
  • 4宫淑丽,王帮峰,吴红兰,黄圣国.基于IMM算法的机场场面运动目标跟踪[J].系统工程与电子技术,2011,33(10):2322-2326. 被引量:30
  • 5黄友澎..多传感器多目标航迹相关与数据合成若干关键技术研究[D].哈尔滨工程大学,2009:
  • 6Aziz A. Fuzzy track--to--track association and track fusion ap- proach in distributed multisensory multiple--attribute environment [J]. Signal Processing, 2007, 87 (6): 1474-1492. 被引量:1
  • 7Billur B, Birsel A. Fuzzy clustering and enumeration of target type based on sonar returns [J]. Pattern Recognition, 2004, 37:189 -199. 被引量:1
  • 8Xu R, Wunseh D. Survey of clustering algorithm [J]. IEEE Transactions on Neural Networks, 2005, 16 (3) : 645 - 678. 被引量:1
  • 9诸克军,苏顺华,黎金玲.模糊C-均值中的最优聚类与最佳聚类数[J].系统工程理论与实践,2005,25(3):52-61. 被引量:69
  • 10陈黎飞,姜青山,王声瑞.基于层次划分的最佳聚类数确定方法[J].软件学报,2008,19(1):62-72. 被引量:82

二级参考文献35

  • 1洪志令 ,姜青山 ,董槐林 ,Wang Sheng-Rui .模糊聚类中判别聚类有效性的新指标[J].计算机科学,2004,31(10):121-125. 被引量:15
  • 2诸克军,苏顺华,黎金玲.模糊C-均值中的最优聚类与最佳聚类数[J].系统工程理论与实践,2005,25(3):52-61. 被引量:69
  • 3ICAO. Advanced surface movement guidance and control sys temsmanual[R]. US. ICAO9830, 2004. 被引量:1
  • 4Farina A. Application of knowledge-based techniques to tracking function. [EB/OL]. [2011 - 05 - 06]. http: // www. rio. nato. int. 被引量:1
  • 5Besada J A, Garcia J, de Migucl G, et al. Design of IMM fitter for radar tracking using evolution strategies[J]. IEEE Trans. on Aerospace and Electronic Systems, 2005,41 ( 3 ) : 1109 - 1122. 被引量:1
  • 6Zhang M, Knedlik S, Loffeld O. An adaptive road eonstrained IMM estimator for ground target tracking in GSM networks[C]// Proc. of the 11th International Conference on Information Fusion , 2008:1 -8. 被引量:1
  • 7Benoudnine H, Keche A, Ouamri M. Fast adaptive update rate for phased array radar using IMM target tracking algorithm[C]// Proc. of the Signal Processing and Information Technology,2006: 277 - 282. 被引量:1
  • 8Lee B J, Park J B, Joo Y H. IMM algorichm using intelligent input estimation for maneuvering target tracking[J].IEEE Trans. on Fundamentals oj Electronics, Communications and Computer Sciences, 2005, E88-A(5) : 1320 - 1327. 被引量:1
  • 9Li X R, Vesselin P, Jilkov. A survey of maneuvering target tracking. Part I: dynamic models[J].IEEE Trans. of Aerospace and Electronic Systems ,2003, 39(4) : 1333 - 1364. 被引量:1
  • 10Toledo-Moreo R, Zamora Lzquierdo M A, Gomez-Skarmeta A F. IMM EKF based road vehicle navigation with low cost GPS INS[C]// Proc. of the IEEE INternational Conference on Multisensor Fusion and INtegration for Intelligent Systems, 2006:433 -438. 被引量:1

共引文献177

同被引文献26

引证文献5

二级引证文献11

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