Memetic Optimization Algorithm Applied to Design Microwave Amplifier for the Specific Gain Value Constrained by the Minimum Noise over the Available Bandwidth

Makaleler > Tam Makale · 2010

Yazarlar: Yavuz Cengiz, Ulaş KILIÇ

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, SCI Expanded İndekslerine Giren Dergi, Uluslararası, 2010, cilt 20, ss 546-556

DOI: 10.1002/mmce.20460

Özet

In this work, the neural performance and fuzzy logic data sheets of the transistor are used to determine the feasible design target space in the optimization of a microwave amplifier. The compatible (Noise F. Input VSWR V,, Gain GT) triplets and their (Z(s), Z(I)) terminations of a microwave transistor are exploited for an amplifier design with the minimum noise F (I), required gain Grreq(fl, and a low input VSWR V, over the available bandwidth. The multi-objective design procedure is obtained from Zs(/), ZL(j) terminations with the unit-elements and short-circuited stubs in the 1,1-L configurations and memetic optimization algorithm is successfully implemented as an optimization tool. A typical design example is given with its challenging performance in the simple configurations realizable by the microstrip line technology. (C) 2010 Wiley Periodicals, Inc Int 1 RF and Microwave CAE 20 546-556.2010

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