Maneuvering target tracking in multi-radar cooperative detection data fusion

Shanghui Zhou; Dexian Zeng; Haibin Li; Yu Liu; Dongya Liu

doi:10.1117/12.2639872

19 October 2022 Maneuvering target tracking in multi-radar cooperative detection data fusion

Shanghui Zhou, Dexian Zeng, Haibin Li, Yu Liu, Dongya Liu

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122944L (2022) https://doi.org/10.1117/12.2639872
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

Multi-radar cooperative detection has significant advantages in maneuvering target tracking because of its wide coverage, good detection performance and strong survivability. As a key technology in cooperative detection of networking, multisource data fusion requires high precision and stability of fusion tracking. In this paper, Centralized Kalman Filter method is used to build a mathematical model by expanding dimension and direction finding quantity, and a new method is proposed to solve the fusion tracking problem of multi-radar in cooperative detection of maneuvering target by extending the estimation of nonlinear system for single sensor to the data fusion estimation of multi-sensor nonlinear system.

Citation Download Citation

Shanghui Zhou, Dexian Zeng, Haibin Li, Yu Liu, and Dongya Liu "Maneuvering target tracking in multi-radar cooperative detection data fusion", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122944L (19 October 2022); https://doi.org/10.1117/12.2639872

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