Nonlinear Channel Equaliser using Discrete Gabor Transform

Authors

  • Gunamani Jena
  • Dr. R Baliarsingh

Abstract

ABSTRACT
The adaptive equaliser makes use of adaptive digital filters whose filter coefficients are modified depending on the channel characteristics at the front end of the receiver. The noise introduced in the channel gets nullified and hence the signal-to-noise ratio of the receiver improves. Discrete Gabor Transform (DGT) helps decorrelate input data because of which the convergence speed of the Mean Square Error (MSE) improves considerably. It is found that the time domain LMS equaliser is slow in convergence. To improve the convergence rate and MSE floor level transform domain-using DFT, DGT and DWT (2, 5, 6 and 7) has been studied. It is found that all the orthogonal transforms perform similar in convergence rate and MSE level. This paper aims at the evaluation of channel performance using Gabor transform, which is both frequency and time domain transform. The nonlinear channel equaliser using Discrete Gabor Transform is reported in this paper. Though Gabor Transform is a nonlinear transform as well as non orthogonal transform it is expected to be better fitted for nonlinear channel. Gabor transform based adaptive equaliser, though has a longer training time, has been found to have better noise recovery property and Lower MSE level, especially when the additive noise in the channel is large.

 

Keywords: Adaptive Channel Equaliser, MSE: Mean Square Error, DFT, DGT, EVR: eigenvalue ratio

Downloads

Published

2019-07-08

Issue

Vol. 1 No. 1-3 (2011)

Section

Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.