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扩展卡尔曼滤波在无源定位中的应用研究
引用本文:李炳荣,丁善荣,马强.扩展卡尔曼滤波在无源定位中的应用研究[J].中国电子科学研究院学报,2011,6(6):622-625.
作者姓名:李炳荣  丁善荣  马强
作者单位:1. 海军航空工程学院电子信息工程系,山东烟台,264001
2. 海军司令部第四部,北京,100841
3. 海军航空工程学院训练部,山东烟台,264001
摘    要:阐述了卡尔曼滤波(KF)和扩展卡尔曼滤波(EKF)的原理和方法,建立了无源定位系统的状态模型和观测模型,推导了将非线性观测模型线性化,并利用EKF进行递推滤波估计的步骤和公式。通过计算机仿真,验证了运用EKF算法解决基于方位角及其变化率测量信息的无源定位方法,结果表明,运用EKF滤波算法,可以实现单观测站对运动目标的无源定位,初始状态估计误差对定位收敛的性能有较大影响。

关 键 词:EKF  无源定位  仿真

Study of Extended Kalman Filter Applied in Passive Location
LI Bing-rong,DING Shan-rong,MA Qiang.Study of Extended Kalman Filter Applied in Passive Location[J].Journal of China Academy of Electronics and Information Technology,2011,6(6):622-625.
Authors:LI Bing-rong  DING Shan-rong  MA Qiang
Affiliation:LI Bing-rong1,DING Shan-rong2,MA Qiang3(1.Department of Electronic and Information Engineering,NAAU,Yantai Shandong 264001,China,2.No.4 Department of Navy Headquarter,Beijing 100841,3.Department of Training,China)
Abstract:The principle and the method of Kalman filter(KF)and extended Kalman filter(EKF)are illuminated.The status model and the measurement model of the passive location system are established.The procedure and formulas are deduced,which the measurement model was linearization and the position of the emitter was estimated by EKF.Through computer simulation,the method of passive location is validated feasibility,which is realized by EKF algorithm based on azimuth angle and its changing rate information.The result s...
Keywords:EKF  Passive Location  Simulation  
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