期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

机动目标跟踪中的多模型算法 被引量：2

Multi-model Algorithm for Maneuvering Target Tracking
下载PDF
导出
摘要 多模型算法经历了从静态多模型(SMM)到交互多模型(IMM)、从固定结构多模型(FSMM)到变结构多模型(VSMM)的发展过程。通过分析FSMM算法的局限性,得出了VSMM算法的优点和使用时机,介绍了变结构多模型的转换算法,同时提出了一种新的VSMM算法——最小子模型集切换算法。 The multi-model algorithm undergoes a developing process from static multi-model （SMM） to interactive multi-model （IMM）,from fixed structure multi-model （FSMM） to variable structure multi-model （VSMM）. This paper analyzes the limitations of FSMM algorithm,obtains the advantage and operational occasions of the VSMM algorithm, introduces the switching algorithm of the VSMM,brings forward a kind of new VSMM algorithm the minimum sub-model set switching （MSMSS） algorithm at the same time.
作者 陈晓峰 嵇成新 陈阳
机构地区 海军大连舰艇学院
出处 《舰船电子对抗》 2008年第1期85-88,共4页 Shipboard Electronic Countermeasure
关键词 多模型算法 机动目标 目标跟踪 multi-model algorithm maneuvering target target tracking
分类号 TN971.1 [电子电信—信号与信息处理]
  • 相关文献

参考文献10

  • 1[1]Magill D T.Optimal adaptive estimation of sampled stochastic processes[J].IEEE Trans.on Automatic Control,1965(10):434-439.
  • 2[2]Ackerson G A,Fu K S.On state estimation in switching environments[J].IEEE Transaction on Automatic Control,1970,12(1):10-17.
  • 3[3]Blom H A P,Shalom Y Bar.The interacting multiple model algorithm for system with markovian switching coefficients[J].IEEE Trains.on Automatic Control,1988,33(8):780-783.
  • 4[4]Li X R,Shalom Y Bar.Model-set adaptation in multiple-model estimation for hybrid systems[A].1992 American Control Conf[C],1992:1794-1799.
  • 5[5]Li X R,Shalom Y Bar.Performance prediction of the IMM algorithms[J].IEEE Trans.on AES,1993,29(3):755-770.
  • 6[6]Li X R.Multiple-model estimation with variable structure:some theoretical considerations[A].33rd IEEE Conf.on Decision and Control[C],1994:1199-1204.
  • 7[7]Li X R,ShalomY Bar.Multiple-model estimation with variable structure[J].IEEE Trans.on Automatic Control,1996(41):478-493.
  • 8[8]Li X R.Multiple-model estimation with variable structure Part IV:design and evaluation of model group switching algorithm[J].IEEE Trans.on AES,1999,35(1):242-254.
  • 9[9]Li X R.Multiple model estimation with variable structure-Part II:model set adaptation[J].IEEE Trans.on Automatic Control,2000,45(11):2047-2060.
  • 10[11]Wang X ZH,Subhash Challa,Rob Evans,Li X R.Minimal submodel-set algorithm for maneuvering target tracking[J].IEEE Trans.on AES,2003,39(4):1218 -1231.

同被引文献23

  • 1黄建军,刘杰.基于自适应衰减系数的VB-AKF滤波算法[J].新型工业化,2013,2(11):27-31. 被引量：4
  • 2Mazor E, Averbuch A, BarShalom Y, et al. Interacting multiple model methodsin target tracking: a survey [J]. IEEE trans on AES,1998, 34(1) : 103 -123.
  • 3Blom H A, BarShalom Y. The interacting multiple model algorithm for systems with markovian switching coefficient[ J ]. IEEE trans on AC, 1988, 33(8) : 780 -783.
  • 4Qu HongQuan, Li ShaoHong. The model set multiple hypotheses IMM algorithm for maneuvering target tracking[C]//International conference on software process. Beijing: Chinese academy of sciences, 2008:2302 -2305.
  • 5Li X R, Shalom Y Bar. Performance prediction of the IMM algorithms [ J ]. IEEE trans on AES, 1993, 29 (3) :755 -770.
  • 6Li X R, Zhang X. Multiple - model estimation with variable structure part Ⅲ: Model - group switching algorithm [ J ]. IEEE trans on AES, 1999, 35(1) :225 -240.
  • 7Li X R, Zhang Youmin. Multiple model estimation with variable structure part V :likely - model set algorithm [ J ]. IEEE trans on AES, 2001, 36(2) : 448 -466.
  • 8Li X R. Multiple-model estimation with variable structure [J]. IEEE trans on AC, 1996,41 (4) : 478 -493.
  • 9Li X R. Multiple -model estimation with variable structure -part II: model-set adaptation[J]. IEEE trans on AC, 2000, 45 ( 11 ) : 2047 - 2060.
  • 10宋骊平,姬红兵.多站测角的最小二乘交互多模型跟踪算法[J].西安电子科技大学学报,2008,35(2):242-247. 被引量：11

引证文献2

二级引证文献10

舰船电子对抗
2008年 第1期

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