A Large Aperture Array Self-calibration Method with Position Errors for GEO SAR

Conference: EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar
06/04/2018 - 06/07/2018 at Aachen, Germany

Proceedings: EUSAR 2018

Pages: 4Language: englishTyp: PDF

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Huo, Lihuan (National Lab of Radar Signal Processing, Xidian University, China)
Liao, Guisheng; Zhiwei, Yang (National Lab of Radar Signal Processing and the Collaborative Innovation Center of Information, Sensing and Understanding, Xidian University, China)
Mao, Zhijie (College of Information and Communication, National University of Defense Technology, China)

It is well known that the unavoidable array position errors of large aperture arrays will significantly degrade the performance of geostationary orbit synthetic aperture radar (GEO SAR) systems. Therefore, it is required to estimate these errors. In this paper, the parametric model of position errors is established firstly. Then, the array selfcalibration method is proposed to estimate the parameters of the position error model based on calibration sources obtained from the range-Doppler images. Simulated results and analysis show that the proposed approach can realize the high accuracy estimation of position errors.