Techniques to improve the CLEAN deconvolution algorithm

Avraham Freedman, Ranjan Bose, Bernard D. Steinberg

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The CLEAN algorithm was introduced in radio astronomy as a means to overcome the shadowing of small targets by the sidelobes of the point spread function (PSF) of a strong target. The idea was further used in microwave imaging where the concept of coherent CLEAN was introduced. The classical CLEAN algorithm is limited to a case where the targets are isolated. Techniques to overcome this limitation are presented in this paper. These techniques include PSF correlation to improve the estimation of target locations and intensities, sequence CLEAN (S-CLEAN) which improves the detection of true targets and suppresses the detection of false ones, and iterative CLEAN (ICLEAN) which uses knowledge about a target to improve the estimation of other targets' parameters. Emulation, using real experimental data, shows that a significant improvement can be achieved using these techniques.

Original languageEnglish
Pages (from-to)535-553
Number of pages19
JournalJournal of the Franklin Institute
Volume332
Issue number5
DOIs
StatePublished - Sep 1995
Externally publishedYes

Fingerprint

Dive into the research topics of 'Techniques to improve the CLEAN deconvolution algorithm'. Together they form a unique fingerprint.

Cite this