Multi-projectiles Target Data Association Algorithm Based on D-S Evidence Theory

Abstract

In the process of accuracy measurement of multi-projectile intersection target, aiming at the problem of multi-projectile target matching on two imaging planes of linear CCD(Charge Coupled Device), a Time-Dimension ICP(iterative closest point) iterative optimization data association algorithm is designed, and a data association decision algorithm based on D-S(Dempster-Shafer evidence theory) evidence reasoning is proposed. By analyzing the correlation error of multi-projectile target matching, the measure function of ICP iteration optimization is given. According to the basic principle of D-S evidential reasoning and the constraint relationship between two imaging surfaces of a multi-projectile online array camera, the design method of the basic probability assignment function of the number of data association, the mean value of absolute error and the consistency of error are given. According to D-S combination probability distribution, different data association results are reasoned and decided. By designing the distance error function from the point to the polar line, the method is extended to the area array high-speed photographic intersection measurement system. The simulation results show that the proposed algorithm can make effective judgments and give reliable data association results when the projectile data is missing, the projectile data is noisy and the projectile catches up.