Abstract

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STUDY OF DIFFERENT NEURAL NETWORKS FOR THE IMPROVEMENT OF NONLINEAR DISTORTION IN OFDM SYSTEM

Swati Dabre, G.Kankath, M.M.Kadam


OFDM system is one of the widely used system, and also will be used in coming future. Recently it has been used in 4G communication. There is a disadvantage of OFDM system is high PAPR which leads to nonlinear distortion in OFDM system. When We use a high power amplifier, the signal gets nonlinearly distorted. Due to This it will cause degradation of BER in OFDM system. But when we use SOM and PLSOM neural network in ofdm system BER gets improved by using som and BER performance gets further improved using the PLSOM neural network in OFDM system as it is the solution to the SOM neural network. PLSOM is more sensitive in nature with external forces. This paper represents PLSOM1 algorithm, which will solve problems associated with PLSOM algorithm