Angle-Only tracking of Dual-station Based on Uncorrelated Conversion Cubature Kalman Filter

Aiming at the problem that Angle-Only tracking technology has low target tracking accuracy in dual-station systems, this paper proposes a tracking algorithm based on uncorrelated conversion cubature Kalman filter algorithm(UCCKF). Firstly, the uncorrelated conversion technology is used to obtain the enhanced measurement. The enhanced measurement is used to supplement the measurement equation to achieve the expansion of the measurement information. Secondly, the state estimation of the target is realized under the framework of cubature Kalman filtering. The enhanced measurement and angle information in this method is uncorrelated. Using this method can effectively reduce the target state update covariance. In the simulation experiment, the tracking performance of the UCCKF algorithm and the CKF algorithm was compared, analyzed and verified. The simulation results show that, under the same conditions, the UCCKF algorithm can reduce the position error by 24.9% and the speed error by 18.7%. The UCCKF algorithm is more effective when applied to a dual-station tracking system.