Design of Low Noise Amplifiers Using Particle Swarm Optimization

by   Sadik Ulker, et al.

This short paper presents a work on the design of low noise microwave amplifiers using particle swarm optimization (PSO) technique. Particle Swarm Optimization is used as a method that is applied to a single stage amplifier circuit to meet two criteria: desired gain and desired low noise. The aim is to get the best optimized design using the predefined constraints for gain and low noise values. The code is written to apply the algorithm to meet the desired goals and the obtained results are verified using different simulators. The results obtained show that PSO can be applied very efficiently for this kind of design problems with multiple constraints.


page 1

page 2

page 3

page 4


A tutorial on Particle Swarm Optimization Clustering

This paper proposes a tutorial on the Data Clustering technique using th...

Application of Particle Swarm Optimization to Microwave Tapered Microstrip Lines

Application of metaheuristic algorithms has been of continued interest i...

Optimal Flexural Design of FRP-Reinforced Concrete Beams Using a Particle Swarm Optimizer

The design of the cross-section of an FRP-reinforced concrete beam is an...

Multi-stage, multi-swarm PSO for joint optimization of well placement and control

Evolutionary optimization algorithms, including particle swarm optimizat...

Reinforcement Learning Based Sensor Optimization for Bio-markers

Radio frequency (RF) biosensors, in particular those based on inter-digi...

Exploiting Particle Swarm Optimization in Multiple Faults Fuzzy Detection

In this paper an on-line multiple faults detection approach is first of ...

Image Filtering using All Neighbor Directional Weighted Pixels: Optimization using Particle Swarm Optimization

In this paper a novel approach for de noising images corrupted by random...

Please sign up or login with your details

Forgot password? Click here to reset