Digital Communication Channel Equaliser using Single Generalised Neuron

Authors

  • Vineeta Choudhary Ujjain Engineering College, Ujjain
  • B.K. Joshi Military College of Telecommunication Engineering, Mhow

DOI:

https://doi.org/10.14429/dsj.59.1559

Keywords:

Digital communication, inter-symbol interference, channel equaliser, single generalised neuron, artificial neural network

Abstract

Equalisation is necessary in a digital communication system to mitigate the effect of inter-symbol interference and other nonlinear distortions. A new reduced complexity approach to digital communication channel equalization is proposed based on a single generalised neuron (GN). Since it uses only a single GN, there is no problem of selection of initial architecture of the neural network giving optimum performance. It has less computational requirements giving rise to reduced training and computation time. The simulation results show that proposed equaliser bit error rate (BER) performance approaches to optimal Bayesian solution.

Defence Science Journal, 2009, 59(5), pp.524-529, DOI:http://dx.doi.org/10.14429/dsj.59.1559

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Published

2009-09-01

How to Cite

Choudhary, V., & Joshi, B. (2009). Digital Communication Channel Equaliser using Single Generalised Neuron. Defence Science Journal, 59(5), 524–529. https://doi.org/10.14429/dsj.59.1559

Issue

Vol. 59 No. 5

Section

Research Papers

License

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