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多传感器定位误差对跟踪性能影响的研究

The Influence of Multisensor Registration Errors on Tracking Performances
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摘要 集中讨论了带有传感器定位误差的多传感器跟踪问题中的滤波方法 ,设计了两个基于一个非线性飞机等效机动模型的扩展卡尔曼滤波器 (EKFs) :最优 EKF(OF)和次优 EKF(SF) ,并应用于带有定位误差的多传感器跟踪问题中。 Monte-Garlo模拟结果表明定位误差对飞机的位置估计影响较大 ,但不影响速度或加速度估计 ;同时说明 OF的性能明显优于 SF。 This paper discuss the centralized filtering solution to the multisensor aircraft tracking problem with sensor registration errors.Two EKF S(the optimal EKF(OF)and the suboptimal EKF(SF))based on a nonlinear coordinated turn maneuver model are designed and applied to that problem.Monte Carlo simulations results shows that the registration errors can significantly affect the aircraft opsition estimates but do not influence the velocity or acceleration estimates,and the perfomace of the OF is much better than the SF.
机构地区 军械工程学院 国营
出处 《火力与指挥控制》 CSCD 北大核心 2001年第1期69-69,共1页 Fire Control & Command Control
关键词 传感器 定位误差 扩展卡尔曼滤波器 跟踪性能 sensor,registration errors,Extended Karlman Filter(EKF)
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参考文献4

  • 1Dana M. P. Registration: Aprereqtuisite for Multiple Sensor Tracking in Bar-Shalom Y [M], MultitargetMulti-sensor Tracking Advanced Applications. Nor Wood ,MA: Artech House, 1990. 被引量:1
  • 2Helmick. Removal of Alignment Errors in an Integrated System of Two 3d Sensors[J]. IEEE Transkction on Aerospace and Electronic Systems,1993. 被引量:1
  • 3Bish R H,Antoulas A C. Nolinear Approach to Aircra ft Tracking Problem[M]. Journal of Guidance,Control and Dynamics, 1994. 被引量:1
  • 4Nabaa N. Advanced Data Fusion Methods with Application to the Multitarget Multisensor Tracking Problem [D]. Ph. D. Dissertation, The University of Texas at Austin.1997. 被引量:1

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