Smoothing algorithm of air target track based on improved cubic B-spline curve

Shuo Wang; Nan Wu; Jie Huang; Jiantao Wang

doi:10.1117/12.2685921

28 July 2023 Smoothing algorithm of air target track based on improved cubic B-spline curve

Shuo Wang, Nan Wu, Jie Huang, Jiantao Wang

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127564B (2023) https://doi.org/10.1117/12.2685921
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

Aimed at the problem that the track data of the air target obtained due to the vacancy and wild value do not meet the requirements of the aircraft's maneuver flight performance and there was an included angle in the track before and after the inflection point. Thus, we propose a trajectory smoothing algorithm based on the improved cubic B-spline curve of genetic algorithm to improve the quality and accuracy of the trajectory data. The first and foremost, design of a new genetic algorithm fitness function based on constraints of aircraft dynamics; there was one more point, adaptively adjust the node vector of cubic B-spline curve; the last but not the least, the smooth track was obtained under the condition of optimal node vector. The experimental results demonstrate that compared with the traditional cubic B-spline curve, the target track quality of the smoothed cubic B-spline curve improved by GA is better. The algorithm not only preserves the track details, but also improves the data quality, and can comply with the requirements of aircraft maneuverability.

Citation Download Citation

Shuo Wang, Nan Wu, Jie Huang, and Jiantao Wang "Smoothing algorithm of air target track based on improved cubic B-spline curve", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127564B (28 July 2023); https://doi.org/10.1117/12.2685921

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