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無源定位跟蹤中修正協(xié)方差擴展卡爾曼濾波算法

郭福成,  李宗華,  孫仲康

郭福成, 李宗華, 孫仲康. 無源定位跟蹤中修正協(xié)方差擴展卡爾曼濾波算法[J]. 電子與信息學報, 2004, 26(6): 917-922.
引用本文: 郭福成, 李宗華, 孫仲康. 無源定位跟蹤中修正協(xié)方差擴展卡爾曼濾波算法[J]. 電子與信息學報, 2004, 26(6): 917-922.
Guo Fu-cheng, Li Zong-hua, Sun Zhong-kang. The Modified Covariance Extended Kalman Filter in Passive Location and Tracking[J]. Journal of Electronics & Information Technology, 2004, 26(6): 917-922.
Citation: Guo Fu-cheng, Li Zong-hua, Sun Zhong-kang. The Modified Covariance Extended Kalman Filter in Passive Location and Tracking[J]. Journal of Electronics & Information Technology, 2004, 26(6): 917-922.

無源定位跟蹤中修正協(xié)方差擴展卡爾曼濾波算法

The Modified Covariance Extended Kalman Filter in Passive Location and Tracking

  • 摘要: 針對無源定位跟蹤中EKF受初值、測量噪聲影響大等缺點,該文提出了一種新的修正協(xié)方差擴展卡爾曼濾波方法(MVEKF),并將其與無源定位跟蹤中常用的EKF,MGEKF,IEKF等濾波方法進行了仿真比較,表明該方法比EKF方法更具穩(wěn)定性;而且無需尋找MGEKF方法中所需的觀測量可修正函數(shù),因而可以應用于其它領域的非線性濾波中.
    Abstract: As the erratic performance of Extended Kalman Filter(EKF) method in passive locaiton, a new filtering method called Modified coVariance EKF(MVEKF) is put forward. It is also compared with several filtering methods mostly used in passive location and tracking, such as EKF, MGEKF, IEKF. Computer simulation shows that this method is robust and has short convergence time. Because it is not required by this method that the measurement equation is linear in MGEKF, it can be used in other non-linear filtering applications.
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  • 侯印鳴等.綜合電子戰(zhàn)-現(xiàn)代戰(zhàn)爭的殺手锏.北京:國防工業(yè)出版社,2000年1月:154-188.[2]孫仲康,周一宇,何黎星.單多基地有源無源定位技術.北京:國防工業(yè)出版社,1996年5月:196-312.[3]Aidala V.Kalman filter behavior in bearing-only tracking applications[J].IEEE Trans.on Aerospace and Electronic Systems.1979,AES-15(1):29-39[4]Bar-Shalom Y.Estimation and Tracking,Principles,Techniques,and Software.Boston,London:Artech House,1993:382-410.[5]Bell M,Cathey W.The iterated Kalman filter update as a Gauss-Newton method.IEEE Trans.on Automatic Control,1993,AC-38(2):294-297.[6]Song T L,Speyer J.A stochastic analysis of a modified gain extended Kalman filter with applications to estimation with bearings only measurements.IEEE Trans.on Automatic Control,1985,AC-30(10):940-949.[7]Galkowski P,Islam M.An alternative derivation of modified gain function of Song and Speyer.IEEE Trans.on Automatic Control,1991,AC-36(11):1322-1326.[8]Guerci J,Goetz R,Dimodica J.A method for improving extended Kalman filter performance for angle-only passive ranging.IEEE Trans.on Aerospace and Electronic Systems,1994,AES-30(4):1090-1093.[9]Fagin S.Comments on a method for improving extended Kalman filter performance for angle-only passive ranging.IEEE Trans.on Aerospace and Electronic Systems,1995,AES-31(3):1148-1150.[10]鄧新蒲.運動單觀測器無源定位與跟蹤方法研究.[博士論文],長沙:國防科學技術大學研究生院,2000.[11]Becher K.Simple linear theory approach to TMA observability.IEEE Trans.on Aerospace and Electronic Systems,1993,AES-29(2):575-578.
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  • 文章訪問數(shù):  3160
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出版歷程
  • 收稿日期:  2003-01-23
  • 修回日期:  2003-04-14
  • 刊出日期:  2004-06-19

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