An optimal algorithm for infrared cooperative positioning

Xiang Chen; Xing Wang; Jundi Wang; You Chen

doi:10.1117/12.2614400

15 October 2021 An optimal algorithm for infrared cooperative positioning

Xiang Chen, Xing Wang, Jundi Wang, You Chen

Author Affiliations +

Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 119331X (2021) https://doi.org/10.1117/12.2614400
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China

Abstract

In this paper, the problem of large positioning error of infrared coordinated targets for two aircraft formations is studied. First, based on the combination of spherical coordinates and rectangular coordinates, a mathematical model of infrared sensor cross-co-location positioning is established. Then, the kernel ridge regression algorithm is used to improve the singularity of the positioning matrix, and two sets of data with higher precision are selected to calculate the positioning error covariance matrix. Simulation analysis shows that the algorithm can significantly improve the positioning accuracy in the entire detection area.

Citation Download Citation

Xiang Chen, Xing Wang, Jundi Wang, and You Chen "An optimal algorithm for infrared cooperative positioning", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 119331X (15 October 2021); https://doi.org/10.1117/12.2614400

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