Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2024 , Vol. 58 >Issue 4: 411 - 418

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.425

Aeronautics and Astronautics

Attitude Planning Method of Satellite Staring Imaging to Aerial Dynamic Target

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  • 1. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China
    2. Institute of Satellite Engineering, Shanghai Academy of Spaceflight Technology, Shanghai 201109, China
    3. Institute of Spaceflight Control Technology, Shanghai Academy of Spaceflight Technology, Shanghai 201109, China

Received date: 2022-10-28

  Revised date: 2022-12-13

  Accepted date: 2023-02-01

  Online published: 2023-03-10

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Abstract

Aimed at the staring imaging requirements of the low earth orbit (LEO) satellite array camera for aerial dynamic targets, a method for target position estimation and staring attitude planning based on image miss-distance of the satellite platform is proposed. Based on the prior knowledge of the flying altitude of the aerial dynamic target, taking the latitude and longitude change rate of the target geography as the state quantity and the central pixel value of the target as the observation, an extended Kalman filter (EKF) is designed to realize the accurate smooth estimation and prediction of the geographical latitude and longitude of the target. On this basis, the attitude and angular velocity of the satellite are planned, the influence of target pixel noise and delay on attitude stability is avoided, and the position estimation of a single satellite to target is realized. The effectiveness of the proposed method is illustrated by a numerical simulation.

Key words： aerial dynamic target; staring imaging; attitude planning; positioning of single satellite; extended Kalman filter (EKF)

Cite this article

DU Ning, WU Shufan, CHEN Zhansheng, CHEN Wenhui, WANG Shiyao, XU Jiaguo, QIN Dongdong . Attitude Planning Method of Satellite Staring Imaging to Aerial Dynamic Target[J]. Journal of Shanghai Jiaotong University, 2024 , 58(4) : 411 -418 . DOI: 10.16183/j.cnki.jsjtu.2022.425

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