期刊文献+

纯方位目标运动分析四维状态的最小二乘模型及分析 被引量:3

Least Square Models with 4-Dimesional States and Analysis for Bearings-Only TMA
下载PDF
导出
摘要 建立了纯方位系统TMA四维状态的最小二乘模型,详细给出了非线性最小二乘算法的迭代公式,分析了非线性最小二乘模型、线性最小二乘模型可解的必要条件,以及非线性最小二乘模型与极大似然模型的等价性。 In this paper least square (LS) models with 4-dimensional states are presented and detailed nonlinear LS algorithm are given for Bearings-Only Target Motion Analysis (TMA). Solvable necessary conditions of NLS and LS models, equivalence properties of NLS and maximum-likelihood models are analyzed.
出处 《指挥控制与仿真》 2007年第5期10-14,共5页 Command Control & Simulation
基金 国防预研资助项目(1010306010301)
关键词 纯方位目标运动分析 非线性 最小二乘法 线性化 bearings-only TMA nonlinear least square linearization
  • 相关文献

参考文献8

二级参考文献5

共引文献23

同被引文献23

  • 1卢晓林,刘健,刘忠.一种纯方位跟踪中的自适应滤波算法[J].海军工程大学学报,2007,19(1):86-89. 被引量:1
  • 2董志荣.纯方位系统定位与跟踪的本载体最优轨线方程及其最优轨线[J].指挥控制与仿真,2007,29(1):7-15. 被引量:13
  • 3Berman Z. A reliable maximum likelihood algorithm for bearing-only target motion analysis[C]. IEEE proceedings of the 36^th Conference on Decision and Control, San Diega The 36^th Conference on Decision and Control, 1997 : 5012-5017.
  • 4Mo Longhing, Xu Yaowei. Bearing-only location using nonlinear least squares[C]. Proceedings of the IEEE National Aerospaceand Electronics Conference, Davtom the IEEE National Aerospace and Electronics Conference, 1997 : 1042-1044.
  • 5Aidala V J. Kalman filter behavior in bearings-Only tracking applications[J]. IEEE Transaction on AES, 1979,15(1) :29-39.
  • 6Julier S J, Uhlmann J K. Unscented filtering and nonlinear estimation[C]. Proceedings of the IEEE, 2004, 92(3) :401-422.
  • 7Julier S J, Uhlmann J K. A new approach for filtering nonlinear systems[C], proceedings of the American Control Conference, Washington The American Control Conference, 1995 : 1628- 1632.
  • 8Tam T, Zarbosky J. A practical non-driving filter[J]. AIAA Journal, 1970,8(6) : 1127-1133.
  • 9Tao X J,Zou C R,He Z Y.Passive Target Tracking using Maximum Likelihood Estimation[J].IEEE Transactions on Aerospace and Electronic Systems,1996,32(4):1348-1354.
  • 10Lin X,Kirubarajan T,BarSha1om Y,et al.Comparison of EKF,Pseudomeasurement and Particle Filters for a Bearing-only Target Tracking Problem[C] //Signal and Data Processing of Small Targets 2002,Proceedings of SPIE,2002,4728:240-250.

引证文献3

二级引证文献12

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