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...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2009-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/9/8/6131/ |
_version_ | 1811278215033913344 |
---|---|
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. |
first_indexed | 2024-04-13T00:30:43Z |
format | Article |
id | doaj.art-0649d48c37ee485eb5fbac5717f7a750 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-13T00:30:43Z |
publishDate | 2009-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
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/ |
work_keys_str_mv | AT sebastianpantoja calibrationofcorrelationradiometersusingpseudorandomnoisesignals AT soniadelarosa calibrationofcorrelationradiometersusingpseudorandomnoisesignals AT enricvalenciadomenech calibrationofcorrelationradiometersusingpseudorandomnoisesignals AT carlosvernich calibrationofcorrelationradiometersusingpseudorandomnoisesignals AT juanfmarchanhernandez calibrationofcorrelationradiometersusingpseudorandomnoisesignals AT nereidarodriguezalvarez calibrationofcorrelationradiometersusingpseudorandomnoisesignals AT xaviboschlluis calibrationofcorrelationradiometersusingpseudorandomnoisesignals AT adrianocamps calibrationofcorrelationradiometersusingpseudorandomnoisesignals AT isaacramosperez calibrationofcorrelationradiometersusingpseudorandomnoisesignals |