PARTICLE SWARM INTELLIGENCE APPLIED TO DETERMINATION OF THE FEASIBLE DESIGN TARGET FOR A LOW-NOISE AMPLIFIER

Abstract

In this work, feasible design target space is presented as an optimization problem for a basic low-noise amplifier and solved by using particle swarm optimization (PSO). This feasible design space consists of (Noise Figure F, Input VSWR V-i, Gain G(T)) triplets and their source Z(S) and load Z(L) termination couples. Worked examples are preented for the two high technology transistor and results are compared with the ones obtained from the device performance characterization Gunes et al., IEEE Proc Circ Devices Syst 141 (1994) 337-344. Excellent agreement is observed. (C) 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 1214-1218, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24276