Phase and amplitude calibration of rotating equispaced circular array for geostationary microwave interferometric radiometers: Simulation results and discussion

In the theoretical part of this work, a calibration strategy for both phase and amplitude calibration of rotating equispaced circular array based on redundant space calibration was introduced. It avoids the challenging implementation of conventional noise-injection networks, especially for a large-s...

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Detalles Bibliográficos
Autores: Guo, Xi, Camps Carmona, Adriano José|||0000-0002-9514-4992, Hyuk, Park|||0000-0003-0031-0802, Liu, Hao, Zhang, Cheng, Wu, Ji
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/354848
Acceso en línea:https://hdl.handle.net/2117/354848
https://dx.doi.org/10.1109/TGRS.2021.3071144
Access Level:acceso abierto
Palabra clave:Calibration
Radiometers
Amplitude calibration
Circular array
Microwave radiometry
Phase calibration
Redundant baselines
Calibratge
Radiòmetres
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Descripción
Sumario:In the theoretical part of this work, a calibration strategy for both phase and amplitude calibration of rotating equispaced circular array based on redundant space calibration was introduced. It avoids the challenging implementation of conventional noise-injection networks, especially for a large-scale array, by using the strong self-consistency accomplished by array rotation. This study presents comprehensive simulation results of the proposed calibration strategy, where calibration residuals and image reconstruction errors are evaluated. The phase calibration shows outstanding performance, while the amplitude calibration is found to be biased due to the logarithms used to linearize the system of calibration equations, and the resulting image reconstruction bias is scene-dependent. A bias correction method is proposed accordingly, which requires an a priori regional brightness temperature within the observation scene. The performance of both phase and amplitude calibration take advantage of increasing the number of elements, which promises the system scalability for high spatial resolution applications.