Infrared measurement and composite tracking algorithm for air-breathing hypersonic vehicles

Zhao Zhang; Changsheng Gao; Wuxing Jing

doi:10.1117/1.JEI.27.2.023023

11 April 2018 Infrared measurement and composite tracking algorithm for air-breathing hypersonic vehicles

Zhao Zhang, Changsheng Gao, Wuxing Jing

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 2, 023023 (April 2018). https://doi.org/10.1117/1.JEI.27.2.023023

Abstract

Air-breathing hypersonic vehicles have capabilities of hypersonic speed and strong maneuvering, and thus pose a significant challenge to conventional tracking methodologies. To achieve desirable tracking performance for hypersonic targets, this paper investigates the problems related to measurement model design and tracking model mismatching. First, owing to the severe aerothermal effect of hypersonic motion, an infrared measurement model in near space is designed and analyzed based on target infrared radiation and an atmospheric model. Second, using information from infrared sensors, a composite tracking algorithm is proposed via a combination of the interactive multiple models (IMM) algorithm, fitting dynamics model, and strong tracking filter. During the procedure, the IMMs algorithm generates tracking data to establish a fitting dynamics model of the target. Then, the strong tracking unscented Kalman filter is employed to estimate the target states for suppressing the impact of target maneuvers. Simulations are performed to verify the feasibility of the presented composite tracking algorithm. The results demonstrate that the designed infrared measurement model effectively and continuously observes hypersonic vehicles, and the proposed composite tracking algorithm accurately and stably tracks these targets.

Citation Download Citation

Zhao Zhang, Changsheng Gao, and Wuxing Jing "Infrared measurement and composite tracking algorithm for air-breathing hypersonic vehicles," Journal of Electronic Imaging 27(2), 023023 (11 April 2018). https://doi.org/10.1117/1.JEI.27.2.023023

Received: 17 July 2017; Accepted: 16 March 2018; Published: 11 April 2018

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