基于修正卡尔曼滤波的目标多源跟踪

Multi-tracking based on amendatory Kalman filter

针对多源跟踪测量信号处理原则进行了分析和研究,并在此基础上对多源信号筛选和滤波估计值的修正原则进行了研究,确保了所得修正测量值的可靠性和滤波估计值判定门限的可信度。对修正卡尔曼滤波跟踪算法进行了研究,分析了其优势和不足,并提出了采用多源跟踪和修正估计协方差的方法来弥补修正卡尔曼滤波跟踪的不足。仿真对比实验验证了所提出跟踪模型的有效性。

Multi-tracking based on amendatory Kalman filter is analyzed on the basis of research on the classic Kalman filter Tracking. The advantages and disadvantages of the amendatory Kalman filter are figured out. Whatrs more, the methods of multi-tracking and covariance amending are put forward for making up the disadvantages. The principle of multi-tracking signal processing is analyzed, and the standard of multi-signal shifting and estimated value mending is put forward. The reliability of the ob- served values and estimated values is ensured. The model of multi-tracking based on Kalman filter can not only ensure the accuracy of the tacking value, but also retain the advantage of not relying on the activity model of the target. A simulation has verified the reliability of the model.