基于扩展Kalman滤波的空基多平台多传感器数据配准和目标跟踪算法

REGISTRATION AND TARGET TRACKING FOR MULTIPLE AIRBORNE MOBILE PLATFORMS AND SENSORS WITH EXTENDED KALMAN FILTER

  • 摘要: 本文研究基于扩展Kalman滤波和多个空中移动平台的多传感器数据配准与目标跟踪问题.文中首先给出了空中移动平台传感器数据配准几何坐标转换算法;接着将目标运动模型和传感器配准误差模型组合在同一个状态方程中,然后利用扩展Kalman滤波方程进行估计.Monte-Carlo仿真表明,该方法能同时有效地估计目标运动状态和传感器配准误差.

     

    Abstract: The problem of registration and target tracking for multiple airborne mobile platforms and sensors based on extended Kalman filter (EKF) in a fusion system is considered. First, the algorithm of coordinate conversion of airborne mobile sensor registration is given. Then, the sensor registration errors are incorporated into an augmented dynamic model and the EKF method is used to estimate both the registration errors and system states simultaneously. Finally, computer simulations are used to show the effectiveness of the proposed sensor registration algorithm.

     

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