Paper
5 November 2020 Research on tracking and filtering technology of high-speed target in near space
Author Affiliations +
Proceedings Volume 11567, AOPC 2020: Optical Sensing and Imaging Technology; 1156713 (2020) https://doi.org/10.1117/12.2576370
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China
Abstract
The emergence of HTV-2, X-51A and other near space hypersonic vehicles poses a new challenge to radar target tracking. Near space hypersonic vehicle has the characteristics of high speed and high maneuverability, but the tracking performance of conventional tracking algorithm is low, which can not meet the operational requirements. In this paper, the technical difficulties of near space target tracking are described. By analyzing the motion characteristics of near space hypersonic vehicle, the dynamics model of HTV-2 is established, and a tracking method based on interacting multiple model (IMM) for near space vehicle is proposed. At the same time, considering the unscented Kalman filter (UKF) algorithm has a better filtering effect on strong nonlinear object. The simulation results show that, the interact multiple model-unscented Kalman filter (IMM-UKF) algorithm is better than the single model EKF algorithm.
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Chenfei Yu, Hao Zhang, and Xiaoliang Cheng "Research on tracking and filtering technology of high-speed target in near space", Proc. SPIE 11567, AOPC 2020: Optical Sensing and Imaging Technology, 1156713 (5 November 2020); https://doi.org/10.1117/12.2576370
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KEYWORDS
Motion models

Detection and tracking algorithms

Error analysis

Electro optical modeling

Electronic filtering

Computer simulations

Filtering (signal processing)

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