基于MVEKF算法的单站无源定位与跟踪方法研究  

Study of single observer passive location and tracking based on the modified covariance extended Kalman filter

作　　者：靳展[1] 刁鸣[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《应用科技》2009年第6期21-24,共4页Applied Science and Technology

摘　　要：在对空中运动目标的单站无源定位问题中,建立了基于多普勒频率变化率的定位与跟踪模型.依据运动学原理,提取目标与观测站的相对信息,概念清晰直观,其定位速度和定位精度都比传统定位方法高.针对EKF方法受滤波初值影响大、易发散的缺点,采用修正协方差的扩展卡尔曼滤波算法(MVEKF)对初始估计值进行滤波处理,既能快速精确地对目标定位跟踪,又可以避免误差较大的初始估计值对滤波结果的不利影响.通过计算机仿真,结果验证了该方法的稳定性和有效性.To solve the problem of single observer passive location for the moving target, a model is built for location and tracking based on Doppler changing rate . Its location speed and accuracy are higher than traditional methods because it extracts information between target and station according to kinematic principle, and its concept is distinct and intuitive. To overcome the EKF＇s disadvantage of dependence on initial value and divergence, the MVEKF algorithm was introduced to process the initial locating results. It can not only locate and track the target quickly and exactly, but also can avoid adverse effect of the initially estimated value which has much deviation. Finally, computer simulations show the stability and availability of this method.

关 键 词：单站无源定位 多普勒频率变化率 MVEKF算法 

分 类 号：TN911.7[电子电信—通信与信息系统]