無(wú)源定位跟蹤中修正協(xié)方差擴(kuò)展卡爾曼濾波算法
The Modified Covariance Extended Kalman Filter in Passive Location and Tracking
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摘要: 針對(duì)無(wú)源定位跟蹤中EKF受初值、測(cè)量噪聲影響大等缺點(diǎn),該文提出了一種新的修正協(xié)方差擴(kuò)展卡爾曼濾波方法(MVEKF),并將其與無(wú)源定位跟蹤中常用的EKF,MGEKF,IEKF等濾波方法進(jìn)行了仿真比較,表明該方法比EKF方法更具穩(wěn)定性;而且無(wú)需尋找MGEKF方法中所需的觀測(cè)量可修正函數(shù),因而可以應(yīng)用于其它領(lǐng)域的非線性濾波中.
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關(guān)鍵詞:
- 無(wú)源定位;卡爾曼濾波;協(xié)方差;非線性
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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