Simulation implementation of intelligent track-to-track association algorithm for multi-radar networking

Changfa Zhu; Baoxin Wang; Yijie Wu; Yunhao Wang; Hong Gao

doi:10.1117/12.2639071

23 May 2022 Simulation implementation of intelligent track-to-track association algorithm for multi-radar networking

Changfa Zhu, Baoxin Wang, Yijie Wu, Yunhao Wang, Hong Gao

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 1225417 (2022) https://doi.org/10.1117/12.2639071
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

This paper proposes a track association algorithm based on convolutional neural network. The algorithm uses multi-time history correlation local track estimation, and adjusts the position coordinate estimation in the track data to classify the track association. It is used to solve the technical difficulties of track splitting and redundancy caused by track association of multiple radar stations. After simulation analysis, the results show that the intelligent track association algorithm proposed in this paper has higher correct association probability and better universality.

Citation Download Citation

Changfa Zhu, Baoxin Wang, Yijie Wu, Yunhao Wang, and Hong Gao "Simulation implementation of intelligent track-to-track association algorithm for multi-radar networking", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 1225417 (23 May 2022); https://doi.org/10.1117/12.2639071

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