EMD-based Gray Association Algorithm for Group Ballistic Target

摘要

Aiming at the problem that the characteristic quantity is difficult to be extracted in group ballistic target track association under the background of concentrated attack, bait and interference penetration, IMF matrix representing the track feature information is extracted from the measurement data by using empirical mode decomposition (EMD) method. The characteristic vector of the measured data is obtained through singular value decomposition of the matrix, and then association degree matrix between characteristic vectors is calculated by gray association algorithm to further judge whether the tracks are associated or not according to certain rules. The simulation results show that compared with the traditional statistics and gray association algorithm, the correct association rate of the algorithm in this paper has been effectively improved.