Calibration of Correlation Radiometers Using Pseudo-Random Noise Signals

The calibration of correlation radiometers, and particularly aperture synthesis interferometric radiometers, is a critical issue to ensure their performance. Current calibration techniques are based on the measurement of the cross-correlation of receivers’ outputs when injecting noise from a common...

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Main Authors: Sebastián Pantoja, Sonia de la Rosa, Enric Valencia Domènech, Carlos Vernich, Juan F. Marchán Hernandez, Nereida Rodriguez Alvarez, Xavi Bosch-Lluis, Adriano Camps, Isaac Ramos Pérez
Format: Article
Language:English
Published: MDPI AG 2009-08-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/9/8/6131/
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author Sebastián Pantoja
Sonia de la Rosa
Enric Valencia Domènech
Carlos Vernich
Juan F. Marchán Hernandez
Nereida Rodriguez Alvarez
Xavi Bosch-Lluis
Adriano Camps
Isaac Ramos Pérez
author_facet Sebastián Pantoja
Sonia de la Rosa
Enric Valencia Domènech
Carlos Vernich
Juan F. Marchán Hernandez
Nereida Rodriguez Alvarez
Xavi Bosch-Lluis
Adriano Camps
Isaac Ramos Pérez
author_sort Sebastián Pantoja
collection DOAJ
description The calibration of correlation radiometers, and particularly aperture synthesis interferometric radiometers, is a critical issue to ensure their performance. Current calibration techniques are based on the measurement of the cross-correlation of receivers’ outputs when injecting noise from a common noise source requiring a very stable distribution network. For large interferometric radiometers this centralized noise injection approach is very complex from the point of view of mass, volume and phase/amplitude equalization. Distributed noise injection techniques have been proposed as a feasible alternative, but are unable to correct for the so-called “baseline errors” associated with the particular pair of receivers forming the baseline. In this work it is proposed the use of centralized Pseudo-Random Noise (PRN) signals to calibrate correlation radiometers. PRNs are sequences of symbols with a long repetition period that have a flat spectrum over a bandwidth which is determined by the symbol rate. Since their spectrum resembles that of thermal noise, they can be used to calibrate correlation radiometers. At the same time, since these sequences are deterministic, new calibration schemes can be envisaged, such as the correlation of each receiver’s output with a baseband local replica of the PRN sequence, as well as new distribution schemes of calibration signals. This work analyzes the general requirements and performance of using PRN sequences for the calibration of microwave correlation radiometers, and particularizes the study to a potential implementation in a large aperture synthesis radiometer using an optical distribution network.
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spelling doaj.art-0649d48c37ee485eb5fbac5717f7a7502022-12-22T03:10:28ZengMDPI AGSensors1424-82202009-08-01986131614910.3390/s90806131Calibration of Correlation Radiometers Using Pseudo-Random Noise SignalsSebastián PantojaSonia de la RosaEnric Valencia DomènechCarlos VernichJuan F. Marchán HernandezNereida Rodriguez AlvarezXavi Bosch-LluisAdriano CampsIsaac Ramos PérezThe calibration of correlation radiometers, and particularly aperture synthesis interferometric radiometers, is a critical issue to ensure their performance. Current calibration techniques are based on the measurement of the cross-correlation of receivers’ outputs when injecting noise from a common noise source requiring a very stable distribution network. For large interferometric radiometers this centralized noise injection approach is very complex from the point of view of mass, volume and phase/amplitude equalization. Distributed noise injection techniques have been proposed as a feasible alternative, but are unable to correct for the so-called “baseline errors” associated with the particular pair of receivers forming the baseline. In this work it is proposed the use of centralized Pseudo-Random Noise (PRN) signals to calibrate correlation radiometers. PRNs are sequences of symbols with a long repetition period that have a flat spectrum over a bandwidth which is determined by the symbol rate. Since their spectrum resembles that of thermal noise, they can be used to calibrate correlation radiometers. At the same time, since these sequences are deterministic, new calibration schemes can be envisaged, such as the correlation of each receiver’s output with a baseband local replica of the PRN sequence, as well as new distribution schemes of calibration signals. This work analyzes the general requirements and performance of using PRN sequences for the calibration of microwave correlation radiometers, and particularizes the study to a potential implementation in a large aperture synthesis radiometer using an optical distribution network.http://www.mdpi.com/1424-8220/9/8/6131/correlation radiometerscalibrationPseudo-Random NoisePRN
spellingShingle Sebastián Pantoja
Sonia de la Rosa
Enric Valencia Domènech
Carlos Vernich
Juan F. Marchán Hernandez
Nereida Rodriguez Alvarez
Xavi Bosch-Lluis
Adriano Camps
Isaac Ramos Pérez
Calibration of Correlation Radiometers Using Pseudo-Random Noise Signals
Sensors
correlation radiometers
calibration
Pseudo-Random Noise
PRN
title Calibration of Correlation Radiometers Using Pseudo-Random Noise Signals
title_full Calibration of Correlation Radiometers Using Pseudo-Random Noise Signals
title_fullStr Calibration of Correlation Radiometers Using Pseudo-Random Noise Signals
title_full_unstemmed Calibration of Correlation Radiometers Using Pseudo-Random Noise Signals
title_short Calibration of Correlation Radiometers Using Pseudo-Random Noise Signals
title_sort calibration of correlation radiometers using pseudo random noise signals
topic correlation radiometers
calibration
Pseudo-Random Noise
PRN
url http://www.mdpi.com/1424-8220/9/8/6131/
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