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DOA estimation for attitude determination on communication satellites

DOA estimation for attitude determination on communication satellites

作     者:Yang Bin He Feng Jin Jin Xiong Huagang Xu Guanghan 

作者机构:School of Electronic and Information Engineering Beihang University School of Aerospace Tsinghua University 

出 版 物:《Chinese Journal of Aeronautics》 (中国航空学报(英文版))

年 卷 期:2014年第27卷第3期

页      面:670-677页

核心收录:

学科分类:08[工学] 081105[工学-导航、制导与控制] 0811[工学-控制科学与工程] 

基  金:co-supported by the National Natural Science Foundation of China (No. 61073012) the Aeronautical Science Foundation of China (No. 20111951015) 

主  题:Attitude determination Communication satellite Direction of arrival (DOA) estimation Low Earth orbit (LEO) Smart antennas 

摘      要:In order to determine an appropriate attitude of three-axis stabilized communication satellites, this paper describes a novel attitude determination method using direction of arrival (DOA) estimation of a ground signal source. It differs from optical measurement, magnetic field measurement, inertial measurement, and global positioning system (GPS) attitude determination. The proposed method is characterized by taking the ground signal source as the attitude reference and acquiring attitude information from DOA estimation. Firstly, an attitude measurement equation with DOA estimation is derived in detail. Then, the error of the measurement equation is analyzed. Finally, an attitude determination algorithm is presented using a dynamic model, the attitude measurement equation, and measurement errors. A developing low Earth orbit (LEO) satellite which tests mobile communication technology with smart antennas can be stabilized in three axes by corporately using a magnetometer, reaction wheels, and three-axis magnetorquer rods. Based on the communication satellite, simulation results demonstrate the effectiveness of the method. The method could be a backup of attitude determination to prevent a system failure on the satellite. Its precision depends on the number of snapshots and the input signal-to-noise ratio (SNR) with DOA estimation.

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