Target identity recognition method based on RCS distribution and spatial location

Abstract

In order to solve the problem of difficult target recognition caused by target tracking discontinuity in complex battlefield environment, We propose a target identity recognition method based on the combination of RCS distribution and spatial position. First select a certain spatial position rule of the target to be identified, predict of the target trajectory using the Runge-Kutta equation, get ballistic data covering the target tracking all time period, match the predicted full trajectory with the ballistic data of the remaining time period of the target to be identified, Obtain identity recognition result. At the same time, the probability density distribution is obtained for the smoothed target RCS sequence, calculate the K-L distance between the probability density distributions to obtain the identity recognition result. Finally, the above two identity recognition results are fused to obtain the final identity recognition result. The method is simple and fast, and the similarity recognition effect can be achieved when the multi-target flight trajectory is close. The correctness of the method is verified by simulation data.