Microwave imaging of perfect electrically conducting cylinder by micro-genetic algorithm

Huang, T; Mohan, AS

Microwave imaging of perfect electrically conducting cylinder by micro-genetic algorithm

Huang, T Mohan, AS

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Publication Type:: Conference Proceeding
Citation:: IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), 2004, 1 pp. 221 - 224
Issue Date:: 2004-09-29

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Field	Value	Language
dc.contributor.author	Huang, T	en_US
dc.contributor.author	Mohan, AS https://orcid.org/0000-0002-4503-5851	en_US
dc.date.issued	2004-09-29	en_US
dc.identifier.citation	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), 2004, 1 pp. 221 - 224	en_US
dc.identifier.issn	0272-4693	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2370
dc.description.abstract	The application of micro-genetic algorithm (m-GA), an enhancement to the conventional GA, to 2-D TMz microwave image reconstruction problem of perfect electrically conducting (PEC) cylinders was discussed. The study was carried out by using multi illumination multi-view approach. The microwave transceivers on the UCA were used to implement the multi-illumination multi-view approach to reduce the illposedness of the problem. The comparison between the performance of conventional GA and m-GA are also discussed. The results show that m-GA converges much faster than the conventional GA.	en_US
dc.relation.ispartof	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)	en_US
dc.title	Microwave imaging of perfect electrically conducting cylinder by micro-genetic algorithm	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	090399 Biomedical Engineering not elsewhere classified	en_US
utslib.for	100501 Antennas and Propagation	en_US
utslib.for	100510 Wireless Communications	en_US
dc.location.activity	Monterey, USA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

The application of micro-genetic algorithm (m-GA), an enhancement to the conventional GA, to 2-D TMz microwave image reconstruction problem of perfect electrically conducting (PEC) cylinders was discussed. The study was carried out by using multi illumination multi-view approach. The microwave transceivers on the UCA were used to implement the multi-illumination multi-view approach to reduce the illposedness of the problem. The comparison between the performance of conventional GA and m-GA are also discussed. The results show that m-GA converges much faster than the conventional GA.

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http://hdl.handle.net/10453/2370