Clustered radio interferometric calibration

S. Kazemi; S. Yatawatta; S. Zaroubi

doi:10.1109/SSP.2011.5967769

Clustered radio interferometric calibration

S. Kazemi, S. Yatawatta, S. Zaroubi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper introduces an amendment to radio interferometric calibration of sources below the noise level. The main idea is to employ the information of the stronger sources' measured signals as a plug-in criterion to solve for the weaker ones. For this purpose, we construct a number of source clusters, with centroids mainly near the strongest sources, assuming that the signals of the sources belonging to a single cluster are corrupted by almost the same errors. Due to this characteristic of clusters, each cluster is calibrated as a single source, using all the coherencies of its sources simultaneously. The obtained solutions for every cluster are assigned to all the cluster's sources. An illustrative example reveals the superiority of this calibration compared to the un-clustered calibration.

Original language	English
Title of host publication	2011 IEEE Statistical Signal Processing Workshop, SSP 2011
Pages	597-600
Number of pages	4
DOIs	https://doi.org/10.1109/SSP.2011.5967769
State	Published - 2011
Externally published	Yes
Event	2011 IEEE Statistical Signal Processing Workshop, SSP 2011 - Nice, France Duration: 28 Jun 2011 → 30 Jun 2011

Publication series

Name	IEEE Workshop on Statistical Signal Processing Proceedings

Conference

Conference	2011 IEEE Statistical Signal Processing Workshop, SSP 2011
Country/Territory	France
City	Nice
Period	28/06/11 → 30/06/11

Keywords

Calibration
Clustering algorithms
Clustering methods
Interferometry: Radio interferometry

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10.1109/SSP.2011.5967769

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title = "Clustered radio interferometric calibration",

abstract = "This paper introduces an amendment to radio interferometric calibration of sources below the noise level. The main idea is to employ the information of the stronger sources' measured signals as a plug-in criterion to solve for the weaker ones. For this purpose, we construct a number of source clusters, with centroids mainly near the strongest sources, assuming that the signals of the sources belonging to a single cluster are corrupted by almost the same errors. Due to this characteristic of clusters, each cluster is calibrated as a single source, using all the coherencies of its sources simultaneously. The obtained solutions for every cluster are assigned to all the cluster's sources. An illustrative example reveals the superiority of this calibration compared to the un-clustered calibration.",

keywords = "Calibration, Clustering algorithms, Clustering methods, Interferometry: Radio interferometry",

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doi = "10.1109/SSP.2011.5967769",

language = "אנגלית",

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series = "IEEE Workshop on Statistical Signal Processing Proceedings",

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AB - This paper introduces an amendment to radio interferometric calibration of sources below the noise level. The main idea is to employ the information of the stronger sources' measured signals as a plug-in criterion to solve for the weaker ones. For this purpose, we construct a number of source clusters, with centroids mainly near the strongest sources, assuming that the signals of the sources belonging to a single cluster are corrupted by almost the same errors. Due to this characteristic of clusters, each cluster is calibrated as a single source, using all the coherencies of its sources simultaneously. The obtained solutions for every cluster are assigned to all the cluster's sources. An illustrative example reveals the superiority of this calibration compared to the un-clustered calibration.

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KW - Clustering algorithms

KW - Clustering methods

KW - Interferometry: Radio interferometry

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Clustered radio interferometric calibration

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Keywords

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