A Target Tracking Algorithm Based on Two-stage Variable Dimension of Kalman Filter

Kalman Filter is a high-speed filter for tracking target.It presents an adaptive Kalman filter design to solve the contradiction between different tracking capacity and time of filters with different orders.The algorithm and method utilize a two-stage Kalman estimator,and can adaptively adjust the order of the filter according to the variety of locomotive target so that the tracking results converges quickly on the premise of assuring the tracking accuracy.The result of the instance simulation indicates that the algorithm posed in this article is reliable,simple and rapid,and the model has high estimation filtering,which can realize real-time trace and prediction and has definite value of both theory an d practice.