An Estimation Algorithm of Maneuvering Target Movement Elements

For estimation of maneuvering target movement elements, the Kalman filter method based on the uniform acceleration model has more applications, however, due to the defect of Kalman filter itself, this method is only applicable to the target with uniform acceleration in the straight line movement situation, but is impossible to estimate the motion elements of the target in turning. In order to overcome this problem, an estimation algorithm of maneuvering target movement elements is proposed in this paper. Through periodic reset of the covariance matrix of Kalman filtering, the algorithm can make the absolute value of the gain matrix always keep larger, make the correction effect of estimation at a satisfactory level, and ultimately solve the estimation problem of maneuvering target movement elements including turning movement. Mathematical simulation results show that the proposed estimation algorithm has strong tracking ability for maneuvering target, and meets the requirement of estimation error. It is simple and easy to be realized in engineering.