Adaptive Inertia Weight Particle Swarm  Optimization For Linear and Nonlinear  Channel Equalization

Diana D.C; Joy Vasantha Rani.S.P; Nithya.T.R; Srimukhee.B

Volume : III, Issue : IV, April - 2014

Adaptive Inertia Weight Particle Swarm Optimization For Linear and Nonlinear Channel Equalization

Diana D. C, Joy Vasantha Rani. S. P, Nithya. T. R, Srimukhee. B

Abstract :

The paper presents the application of the Particle Swarm Optimization (PSO) technique based on a fitness function of the particles in the field of channel equalization. PSO is a derivative free algorithm that can be used for optimization problems. However, it has the problem of getting trapped in local minima. To overcome this, many modifications have been suggested based on inertia weight, swarm initialization and so on. Modifications based on inertia weight that have already been proposed are reviewed and then the technique based on the fitness of particles is discussed for the application of adaptive equalization. It is found that the technique suggested exhibits superior performance in both linear and nonlinear channels, compared to modifications and existing methods.