Multi-sensor fusion estimation algorithm based on IMM and SCC

Yuanbo Yang; Hao Zuo

doi:10.1117/12.2684909

19 October 2023 Multi-sensor fusion estimation algorithm based on IMM and SCC

Yuanbo Yang, Hao Zuo

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 1270921 (2023) https://doi.org/10.1117/12.2684909
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

Aiming at the problems of vague information acquisition, insufficient accuracy, and poor robustness of a single sensor, this paper investigates the information fusion algorithm of multiple sensors. Firstly, the motion of the moving body is modeled using staged CV, CA, and CT models, and the complete motion of a single maneuvering target is simulated based on 2D planes or 3D space. Secondly adaptive implementation of Kalman's nonlinear filter estimation in maneuvering targets under a single sensor based on the Interactive Multi-Model (IMM) algorithm. The multi-sensor IMM results are then estimated and fused based on the Simple Convex Combination (SCC) fusion algorithm. Finally, the single-sensing and multi-sensing fusion performances are simulated and evaluated by experiments to prove the effectiveness of the designed track fusion algorithm under multi-sensing.

Citation Download Citation

Yuanbo Yang and Hao Zuo "Multi-sensor fusion estimation algorithm based on IMM and SCC", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 1270921 (19 October 2023); https://doi.org/10.1117/12.2684909

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