A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration

A digital-correlation full-polarized microwave radiometer is an important passive remote sensor, as it can obtain the amplitude and phase information of an electromagnetic wave at the same time. It is widely used in the measurement of sea surface wind speed and direction. Its configuration is compli...
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Autor*in:	Jia Ding [verfasserIn] Zhenzhan Wang [verfasserIn] Yongqiang Duan [verfasserIn] Xiaolin Tong [verfasserIn] Hao Lu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	digital-correlation full-polarized radiometer modeling of microwave system full-polarized calibration target

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 13(2021), 23, p 4888
Übergeordnetes Werk:	volume:13 ; year:2021 ; number:23, p 4888

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs13234888

Katalog-ID:	DOAJ015433358

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allfields	10.3390/rs13234888 doi (DE-627)DOAJ015433358 (DE-599)DOAJc55a058d4dd34a00926e965f5cb503c7 DE-627 ger DE-627 rakwb eng Jia Ding verfasserin aut A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A digital-correlation full-polarized microwave radiometer is an important passive remote sensor, as it can obtain the amplitude and phase information of an electromagnetic wave at the same time. It is widely used in the measurement of sea surface wind speed and direction. Its configuration is complicated, so the error analysis of the instrument is often difficult. This paper presents a full-polarized radiometer system model that can be used to analyze various errors, which include input signal models and a full-polarized radiometer (receiver) model. The input signal models are generated by WGN (white Gaussian noise), and the full-polarized radiometer model consists of an RF front-end model and digital back-end model. The calibration matrix is obtained by solving the overdetermined equations, and the output voltage is converted into Stokes brightness temperature through the calibration matrix. Then, we use the four Stokes parameters to analyze the sensitivity, linearity, and calibration residuals, from which the simulation model is validated. Finally, two examples of error analysis, including gain imbalance and quantization error, are given through a simulation model. In general, the simulation model proposed in this paper has good accuracy and can play an important role in the error analysis and pre-development of the fully polarized radiometer. digital-correlation full-polarized radiometer modeling of microwave system full-polarized calibration target Science Q Zhenzhan Wang verfasserin aut Yongqiang Duan verfasserin aut Xiaolin Tong verfasserin aut Hao Lu verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 23, p 4888 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:23, p 4888 https://doi.org/10.3390/rs13234888 kostenfrei https://doaj.org/article/c55a058d4dd34a00926e965f5cb503c7 kostenfrei https://www.mdpi.com/2072-4292/13/23/4888 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 23, p 4888
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allfieldsSound	10.3390/rs13234888 doi (DE-627)DOAJ015433358 (DE-599)DOAJc55a058d4dd34a00926e965f5cb503c7 DE-627 ger DE-627 rakwb eng Jia Ding verfasserin aut A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A digital-correlation full-polarized microwave radiometer is an important passive remote sensor, as it can obtain the amplitude and phase information of an electromagnetic wave at the same time. It is widely used in the measurement of sea surface wind speed and direction. Its configuration is complicated, so the error analysis of the instrument is often difficult. This paper presents a full-polarized radiometer system model that can be used to analyze various errors, which include input signal models and a full-polarized radiometer (receiver) model. The input signal models are generated by WGN (white Gaussian noise), and the full-polarized radiometer model consists of an RF front-end model and digital back-end model. The calibration matrix is obtained by solving the overdetermined equations, and the output voltage is converted into Stokes brightness temperature through the calibration matrix. Then, we use the four Stokes parameters to analyze the sensitivity, linearity, and calibration residuals, from which the simulation model is validated. Finally, two examples of error analysis, including gain imbalance and quantization error, are given through a simulation model. In general, the simulation model proposed in this paper has good accuracy and can play an important role in the error analysis and pre-development of the fully polarized radiometer. digital-correlation full-polarized radiometer modeling of microwave system full-polarized calibration target Science Q Zhenzhan Wang verfasserin aut Yongqiang Duan verfasserin aut Xiaolin Tong verfasserin aut Hao Lu verfasserin aut In Remote Sensing MDPI AG, 2009 13(2021), 23, p 4888 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:13 year:2021 number:23, p 4888 https://doi.org/10.3390/rs13234888 kostenfrei https://doaj.org/article/c55a058d4dd34a00926e965f5cb503c7 kostenfrei https://www.mdpi.com/2072-4292/13/23/4888 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 13 2021 23, p 4888
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author	Jia Ding
spellingShingle	Jia Ding misc digital-correlation full-polarized radiometer misc modeling of microwave system misc full-polarized calibration target misc Science misc Q A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration
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topic_title	A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration digital-correlation full-polarized radiometer modeling of microwave system full-polarized calibration target
topic	misc digital-correlation full-polarized radiometer misc modeling of microwave system misc full-polarized calibration target misc Science misc Q
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title	A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration
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title_full	A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration
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title_sort	digital-simulation model for a full-polarized microwave radiometer system and its calibration
title_auth	A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration
abstract	A digital-correlation full-polarized microwave radiometer is an important passive remote sensor, as it can obtain the amplitude and phase information of an electromagnetic wave at the same time. It is widely used in the measurement of sea surface wind speed and direction. Its configuration is complicated, so the error analysis of the instrument is often difficult. This paper presents a full-polarized radiometer system model that can be used to analyze various errors, which include input signal models and a full-polarized radiometer (receiver) model. The input signal models are generated by WGN (white Gaussian noise), and the full-polarized radiometer model consists of an RF front-end model and digital back-end model. The calibration matrix is obtained by solving the overdetermined equations, and the output voltage is converted into Stokes brightness temperature through the calibration matrix. Then, we use the four Stokes parameters to analyze the sensitivity, linearity, and calibration residuals, from which the simulation model is validated. Finally, two examples of error analysis, including gain imbalance and quantization error, are given through a simulation model. In general, the simulation model proposed in this paper has good accuracy and can play an important role in the error analysis and pre-development of the fully polarized radiometer.
abstractGer	A digital-correlation full-polarized microwave radiometer is an important passive remote sensor, as it can obtain the amplitude and phase information of an electromagnetic wave at the same time. It is widely used in the measurement of sea surface wind speed and direction. Its configuration is complicated, so the error analysis of the instrument is often difficult. This paper presents a full-polarized radiometer system model that can be used to analyze various errors, which include input signal models and a full-polarized radiometer (receiver) model. The input signal models are generated by WGN (white Gaussian noise), and the full-polarized radiometer model consists of an RF front-end model and digital back-end model. The calibration matrix is obtained by solving the overdetermined equations, and the output voltage is converted into Stokes brightness temperature through the calibration matrix. Then, we use the four Stokes parameters to analyze the sensitivity, linearity, and calibration residuals, from which the simulation model is validated. Finally, two examples of error analysis, including gain imbalance and quantization error, are given through a simulation model. In general, the simulation model proposed in this paper has good accuracy and can play an important role in the error analysis and pre-development of the fully polarized radiometer.
abstract_unstemmed	A digital-correlation full-polarized microwave radiometer is an important passive remote sensor, as it can obtain the amplitude and phase information of an electromagnetic wave at the same time. It is widely used in the measurement of sea surface wind speed and direction. Its configuration is complicated, so the error analysis of the instrument is often difficult. This paper presents a full-polarized radiometer system model that can be used to analyze various errors, which include input signal models and a full-polarized radiometer (receiver) model. The input signal models are generated by WGN (white Gaussian noise), and the full-polarized radiometer model consists of an RF front-end model and digital back-end model. The calibration matrix is obtained by solving the overdetermined equations, and the output voltage is converted into Stokes brightness temperature through the calibration matrix. Then, we use the four Stokes parameters to analyze the sensitivity, linearity, and calibration residuals, from which the simulation model is validated. Finally, two examples of error analysis, including gain imbalance and quantization error, are given through a simulation model. In general, the simulation model proposed in this paper has good accuracy and can play an important role in the error analysis and pre-development of the fully polarized radiometer.
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title_short	A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration
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A Digital-Simulation Model for a Full-Polarized Microwave Radiometer System and Its Calibration

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