Performance Analysis of Self Adaptive Equalizers using EPLMS Algorithm

N Shwetha, Manoj Priyatham

20202020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)18 citationsDOI

Abstract

Digital communication has become an important part of our lives and technology has been undergoing advancements. The main two problems faced in digital communication is noise and inter-symbol interference (ISI). The IS I is induced due to channel characteristics, which is time-varying and unknown. Hence an adaptive channel equalizer is used to inverse the effect channel had on the signal to get back the initial information. There are many adaptive algorithms to update the coefficients of equalizers, evolutionary algorithms are used in this paper to do so. The two algorithms used before are particle swarm optimization (PSO) and conventional differential evolution (DE). The newest algorithm is the Evolutionary Programming Least Mean Square Algorithm (EPLMS) this gives a better solution faster.

Topics & Concepts

Particle swarm optimizationComputer scienceAlgorithmDifferential evolutionEvolutionary algorithmChannel (broadcasting)Least mean squares filterNoise (video)Adaptive filterInterference (communication)Mathematical optimizationMathematicsArtificial intelligenceTelecommunicationsImage (mathematics)Advanced Wireless Communication TechniquesAdvanced Adaptive Filtering TechniquesBlind Source Separation Techniques