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Conference Paper: Optimized RF CMOS Low Noise Amplifier design via geometric programming

TitleOptimized RF CMOS Low Noise Amplifier design via geometric programming
Authors
Issue Date2007
Citation
2006 International Symposium On Intelligent Signal Processing And Communications, Ispacs'06, 2007, p. 423-426 How to Cite?
AbstractWe present an innovative geometric programming (GP)-based approach for optimizing the design of a CMOS Low Noise Amplifier (LNA). An LNA with common source inductive degeneration is formed in the GP framework for optimization. Globally optimal design parameters satisfying design constraints and specifications are obtained with high computational efficiency. Tradeoff curves for analyzing various design metrics, such as noise figure and quality factor, are rapidly computed through GP. Numerical examples show that the GP-optimized values are in excellent match with the known optimal values. Moreover, the GP framework allows fast computation and easy incorporation of additional design constraints that are generally difficult, if not impossible, in the traditional approach. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/98862
References

 

DC FieldValueLanguage
dc.contributor.authorCheung, WTen_HK
dc.contributor.authorWong, Nen_HK
dc.date.accessioned2010-09-25T18:05:22Z-
dc.date.available2010-09-25T18:05:22Z-
dc.date.issued2007en_HK
dc.identifier.citation2006 International Symposium On Intelligent Signal Processing And Communications, Ispacs'06, 2007, p. 423-426en_HK
dc.identifier.urihttp://hdl.handle.net/10722/98862-
dc.description.abstractWe present an innovative geometric programming (GP)-based approach for optimizing the design of a CMOS Low Noise Amplifier (LNA). An LNA with common source inductive degeneration is formed in the GP framework for optimization. Globally optimal design parameters satisfying design constraints and specifications are obtained with high computational efficiency. Tradeoff curves for analyzing various design metrics, such as noise figure and quality factor, are rapidly computed through GP. Numerical examples show that the GP-optimized values are in excellent match with the known optimal values. Moreover, the GP framework allows fast computation and easy incorporation of additional design constraints that are generally difficult, if not impossible, in the traditional approach. © 2006 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartof2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS'06en_HK
dc.titleOptimized RF CMOS Low Noise Amplifier design via geometric programmingen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWong, N:nwong@eee.hku.hken_HK
dc.identifier.authorityWong, N=rp00190en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ISPACS.2006.364919en_HK
dc.identifier.scopuseid_2-s2.0-45249119358en_HK
dc.identifier.hkuros133555en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-45249119358&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage423en_HK
dc.identifier.epage426en_HK
dc.identifier.scopusauthoridCheung, WT=24376286000en_HK
dc.identifier.scopusauthoridWong, N=35235551600en_HK

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