Phase compensation of atmospheric disturbance based on GB-InSAR

Chongyang Jin; Yu Liu; Jin Tang; Hao Wu; Hang Hu

doi:10.1117/12.2615619

15 February 2022 Phase compensation of atmospheric disturbance based on GB-InSAR

Chongyang Jin, Yu Liu, Jin Tang, Hao Wu, Hang Hu

Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 121662O (2022) https://doi.org/10.1117/12.2615619
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong

Abstract

Aiming at the influence of the atmosphere on the measurement accuracy of ground-based interferometric radar (GB-InSAR) in landslide monitoring, the article discusses four algorithms of conventional linear compensation, meteorological data correction, distance function fitting, and nonlinear phase compensation. And proposed an optimization scheme based on the fixed-point method of distance function fitting algorithm. This scheme selects the stable PS point through the double threshold of the cross-correlation coefficient and the phase standard deviation, and then performs the least square fitting on the atmospheric disturbance distance function model, so as to achieve high-precision atmospheric disturbance phase compensation. Finally, the performance of the four atmospheric compensation algorithms is simulated and analyzed using real data. The results show that the compensation algorithm is effective and greatly improves the accuracy of the phase measurement error.

Citation Download Citation

Chongyang Jin, Yu Liu, Jin Tang, Hao Wu, and Hang Hu "Phase compensation of atmospheric disturbance based on GB-InSAR", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 121662O (15 February 2022); https://doi.org/10.1117/12.2615619

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KEYWORDS

Picosecond phenomena

Atmospheric modeling

Radar

Phase compensation

Meteorology

Atmospheric monitoring

Refractive index

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