Abstract
In this paper, in order to improve the accuracy of the Synthetic Aperture Radar (SAR) satellite attitude using Global Positioning System (GPS) wide-band carrier phase, the SAR satellite attitude kinematic vector and Kalman filter are introduced. Introducing the state variable function of GPS attitude determination algorithm in SAR satellite by means of kinematic vector and describing the observation function by the GPS wide-band carrier phase, the paper uses the Kalman filter algorithm to obtian the attitude variables of SAR satellite. Compared the simulation results of Kalman filter algorithm with the least square algorithm and explicit solution, it is indicated that the Kalman filter algorithm is the best.
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Supported by the Alarming System Used in Supervising Geological Disaster of Chongqing Economic Committee(No. 042YZDZ109).
Communication author: Tian Zengshan, born in 1968, male, Ph.D., associate professor. The Center of Mobile & Communication, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
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Tian, Z., Tan, Y. & Zhang, G. Algorithm of SAR satellite attitude measurement using GPS aided by kinematic vector. J. of Electron.(China) 24, 622–627 (2007). https://doi.org/10.1007/s11767-006-0034-4
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DOI: https://doi.org/10.1007/s11767-006-0034-4
Key words
- Synthetic Aperture Radar (SAR) satellite
- Attitude measurement
- Satellite attitude
- Kinematic vector
- Kalman filter