Design of Low Noise Amplifiers through Flow-Graphs and their Optimization by the Simulated Annealing Technique

Abstract

This chapter presents the optimal design of Low Noise Amplifiers (LNAs). The basic idea consists of optimizing performances of LNAs by a direct action on the scattering parameters. A symbolic approach, namely the Coates Flow-Graph technique, is used to automatically generate symbolic expressions of the impedance parameters and, thus, those of the scattering parameters. The Simulated Annealing optimization technique is applied to determine the optimal sizing of the LNA. ADS simulation results are given to show the viability of the proposed approach.

Ant Colony Optimization for Optimal Low-Pass State Variable Filter Sizing

“…The aim is to automate this task in order to accelerate the circuits design and sizing. Recently, the used of the metaheuristics have proved a capacity to treat these problem efficiently, such as Tabu Search (TS) [1], Genetic Algorithms (GA) [2], Local search (LS) [3], Simulated Annealing (SA) [4], Ant Colony Optimization (ACO) [5][6][7] and Particle Swarm Optimization (PSO) [8].…”