Dispersed harmony search algorithm for MESFET DC and small signal model parameter extraction

Abstract

This paper proposes a variant of harmony search algorithm named as dis- persed harmony search (DHS) and its application to extract the drain current (DC) and small signal model parameters of Galium Arsenide (GaAs) metal extended semiconduc- tor eld effect transistor (MESFET). DHS algorithm is used to minimize the difference between measured and modeled (i) drain current to extract the DC model parameters and (ii) S-parameters to extract the small signal model parameters. The S-parameters are measured in the frequency range of 500 MHz to 25 GHz with a step of 500 MHz. The measured data are obtained from a fabricated MESFET of gate length 0.7 m and gate width of 600 m (4 150). The performance of DHS algorithm is compared with particle swarm optimization (PSO) and arti cial bee colony (ABC) algorithm in terms of qual- ity of solution and execution time to extract the model parameters. Comparison results reveal that the DHS algorithm has better convergence speed and also a robust technique for model parameter extraction compared with PSO and ABC algorithms.