Association judgment of multiple target observations based on Bayesian statistics

Ziwei Yang; Yifeng Yang; Bin Tang

doi:10.1117/12.2628111

18 February 2022 Association judgment of multiple target observations based on Bayesian statistics

Ziwei Yang, Yifeng Yang, Bin Tang

Proceedings Volume 12162, International Conference on High Performance Computing and Communication (HPCCE 2021); 1216211 (2022) https://doi.org/10.1117/12.2628111
Event: 2021 International Conference on High Performance Computing and Communication, 2021, Guangzhou, China

Abstract

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.

Citation Download Citation

Ziwei Yang, Yifeng Yang, and Bin Tang "Association judgment of multiple target observations based on Bayesian statistics", Proc. SPIE 12162, International Conference on High Performance Computing and Communication (HPCCE 2021), 1216211 (18 February 2022); https://doi.org/10.1117/12.2628111

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