Association judgment of multiple target observations based on Bayesian statistics
Ziwei Yang, Yifeng Yang, Bin Tang · 2022
In radar down-to-sea detection, in order to determine whether the measurement results of two targets at different times in the same space area come from the same target, so as to facilitate the identification and tracking of the target, in this paper, a method for correlation determination of target observation results based on Bayesian statistics is proposed. Firstly, the derivation of this method is introduced. Then, the explanation of this method is given. Finally, the method is verified by simulation data, and the success rate reaches 99% under ideal simulation data, 91% after adding noise, which proves the correctness and practicability of the method.