Abstract
An improved UKF (Unscented Kalman Filter) algorithm is proposed to solve the problem of radar azimuth mutation. Since the radar azimuth angle will restart to count after each revolution of the radar, and when the aircraft just passes the abrupt angle change, the radar observation measurement will have a sudden change, which has serious consequences and is solved by the proposed novel UKF based on SVD. In order to improve the tracking accuracy and stability of the radar tracking system further, the SVD-MUKF (Singular Value Decomposition-based Memory Unscented Kalman Filter) based on multiple memory fading is constructed. Furthermore, several simulation results show that the SVD-MUKF algorithm proposed in this paper is better than the SVD-UKF (Singular Value Decomposition of Unscented Kalman Filter) algorithm and classical UKF algorithm in accuracy and stability. Last but not the least, the SVD-MUKF can achieve stable tracking of targets even in the case of angle mutation.
Highlights
With the continuous development of flight technology, the speed maneuvering performance of aircraft is constantly improved, which poses a severe challenge to the detection and tracking performance of warning radar [1,2,3]
In order to deal with the problem of sparse radar data, the method of increasing the number of radar scan lines is usually adopted [6, 7], but the radar azimuth angles will restart to count after each revolution of the radar, and the radar observation measurement will occur when the aircraft just passes the sudden change in azimuth
Instead of modifying the system itself, we proposed a filtering algorithm that can solve the problem of azimuth mutation
Summary
With the continuous development of flight technology, the speed maneuvering performance of aircraft is constantly improved, which poses a severe challenge to the detection and tracking performance of warning radar [1,2,3]. (1) A modified radar measurement method is proposed, which converts the azimuth information about the radar measurement data into azimuth cosine and sine values, and solves the problem of sudden angle change caused by the target flight path crossing the radar coordinate quadrant (2) An improved UKF algorithm based on SVD is proposed to solve the error singular matrix caused by the abrupt change of radar azimuth, which traditional UKF cannot handle This is because the radar tracking system will produce the singular matrix which Cholesky decomposition cannot decompose in traditional UKF (3) The multiple fading memory factor is proposed to further improve the accuracy of the radar tracking system. The simulation test is carried out and the calculation results are given
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