Phase and Amplitude Calibration of Rotating Equispaced Circular Array for Geostationary Microwave Interferometric Radiometers—Simulation Results and Discussion
| Autor: | Ji Wu, Adriano Camps, Hyuk Park, Hao Liu, Cheng Zhang, Xi Guo |
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| Přispěvatelé: | Chinese Academy of Sciences, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. Departament de Física, Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
| Rok vydání: | 2022 |
| Předmět: |
Amplitude calibration
Computer science Calibration (statistics) Acoustics Microwave radiometry Radiometers ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Phase (waves) Iterative reconstruction Circular buffer Phase calibration Microwave imaging Microwave theory and techniques Circular array Calibratge Electrical and Electronic Engineering Astrophysics::Instrumentation and Methods for Astrophysics Correlation Interferometry Amplitude Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC] Radiòmetres Calibration Image reconstruction Geostationary orbit General Earth and Planetary Sciences Redundant baselines Brightness temperature Rotation (mathematics) |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| ISSN: | 1558-0644 0196-2892 |
| Popis: | 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. The authors would like to thank the anonymous editor and reviewers for their constructive comments and suggestions. This collaboration was also supported by the Joint Ph.D. Training Program from the University of Chinese Academy of Sciences. |
| Databáze: | OpenAIRE |
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