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Reseach Article

Simulation of Constant Modulus Algorithm Equalizer for Human Body Communication Channel

Published on December 2011 by Rashmi Baweja, Amitabh Sharma, Pankaj Shukla
International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 6
December 2011
Authors: Rashmi Baweja, Amitabh Sharma, Pankaj Shukla
7034f350-4487-4227-a60f-14a7c7cec683

Rashmi Baweja, Amitabh Sharma, Pankaj Shukla . Simulation of Constant Modulus Algorithm Equalizer for Human Body Communication Channel. International Conference on Electronics, Information and Communication Engineering. ICEICE, 6 (December 2011), 21-24.

@article{
author = { Rashmi Baweja, Amitabh Sharma, Pankaj Shukla },
title = { Simulation of Constant Modulus Algorithm Equalizer for Human Body Communication Channel },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 6 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 21-24 },
numpages = 4,
url = { /specialissues/iceice/number6/4316-iceice049/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A Rashmi Baweja
%A Amitabh Sharma
%A Pankaj Shukla
%T Simulation of Constant Modulus Algorithm Equalizer for Human Body Communication Channel
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 6
%P 21-24
%D 2011
%I International Journal of Computer Applications
Abstract

Human body can be used as a transmission medium for electrical signals which offers a novel data communication in biomedical monitoring systems. Human Body communication channel (on-body) may be proven as promising solution for Wireless Body Area networks (WBANs) in terms of simplicity, reliability, power-efficiency and security. In this paper, an algorithm is developed using MATLAB software for estimation and equalization of data traveled across human body transmission medium in the presence of EM noise. The human body is characterized based on ETRI’s measurements as transmission channel (FIR Filter). An electric current is transmitted using signal electrode placed on body, within a specified frequency range of several MHz and received by signal electrode placed at other location(on body). The received noisy channel output data processing is done using constant modulus algorithm for batch equalization. The transmitted bits are extracted from received noisy data with no error bits i. e. a signal to error ratio (SER) near to zero is achieved. Results indicate that noise is effectively suppressed and error is converged over the HBC channel using adaptive CMA equalization.

References
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  9. Amitabh Sharma, Pankaj Shukla and Rashmi Baweja, “Simulation of MMSE & Adaptive MMSE Equalizer for Human Body Communication Channel,” BEATS-2010 Proceedings.
Index Terms

Computer Science
Information Sciences

Keywords

Human Body Communication Body Area Network Signal electrode CMA Equalization