Performing Adaptive Channel Equalization by Hybrid Differential Evolution Particle Swarm Optimization
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 7
Abstract
Inter symbol interference is the main obstacles for reliable communications. To mitigate the effects of ISI and to obtain reliable data transmission, An adaptive equalizer is required at the receiver. Equalizer is used to reduce the effect of this problem and reconstruct the original signal. The adaptive equalizer adapts the coefficients to minimize the noise and ISI. Particle Swarm Optimization (PSO) is a class of stochastic search algorithms based on population. Due to the simplicity of implementation and promising optimization capability, PSO is successfully applied for channel equalization but has some drawbacks such as high computational complexity and premature convergence. In this paper we combined differential evolution (DE) with PSO given name as Hybrid DEPSO for overcome the problems occurred by traditional PSO. Simulated results gave clear evidence for accelerating the convergence and better performance of DEPSO as compared with PSO.
Authors and Affiliations
Shruti Bansal, Hamid Ali, Sarbjeet Singh
Keywords
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