Design of a broadband microwave amplifier using neural performance data sheets and very fast simulated reannealing


CENGIZ Y., Goksu H., GUNES F.

ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS, vol.3973, pp.815-820, 2006 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 3973
  • Publication Date: 2006
  • Journal Name: ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, EMBASE, MathSciNet, Philosopher's Index, zbMATH
  • Page Numbers: pp.815-820
  • Akdeniz University Affiliated: No

Abstract

In this work, the neural performance data sheets of the transistor are employed to determine the feasible design target space in the optimization of a microwave amplifier. The basic amplifier with a single transistor between the input and output matching circuits (IMC and OMC) is also worked out. Very Fast Simulated Reannealing (VFSR) is utilized in the multi - objective optimization process for the global minimum of the objective function which is expressed as a function only gain of a matching circuit, in the negative exponential form to ensure the rapid convergence.