Fuzzy Clustering Based Blind Adaptive OFDM System

Authors

  • Krishna Sundar Twayana Department of Electronics and Computer Engineering, Advanced College of Engineering & Management, Kopundole
  • Shashidhar Ram Joshi Department of Electronics and Computer Engineering Institute of Engineering, Pulchowk Campus

DOI:

https://doi.org/10.3126/jacem.v1i0.14921

Keywords:

Adaptive modulation, SNR estimation, Fuzzy c-means clustering, Fuzzy template

Abstract

This paper present blind adaptive modulation for OFDM system. Automatic recognition of the modulation level of detected signal and blind estimation of SNR is a major task of an intelligent receiver presented here. In this paper, modulation classification is performed by fuzzy c-means clustering followed by new approach of modulation classification, fuzzy template matching considering the constellation of the received signal. In addition, SNR estimation and modulation order for the next transmission is carry out by Fuzzy Logic Interface based upon heuristics. The simulation that has been conducted shows high capability of recognition of modulation level, almost perfect estimation of SNR and adaptive with considerable BER in an Additive White Gaussian Noise channel. The performance of proposed system is simulated in computer simulation tool, MATLAB 7.0.

Journal of Advanced College of Engineering and Management, Vol.1, 2015, pp. 51-58

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Published

2016-05-13

How to Cite

Twayana, K. S., & Joshi, S. R. (2016). Fuzzy Clustering Based Blind Adaptive OFDM System. Journal of Advanced College of Engineering and Management, 1, 51–58. https://doi.org/10.3126/jacem.v1i0.14921

Issue

Vol. 1 (2015)

Section

Articles

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