Performance analysis and comparison of m x n zero forcing and MMSE equalizer based receiver for mimo wireless channel

Wireless transmission is affected by fading and interference effects which can be combated with equalizer.The useof MIMO system promises good improvement in terms of spectral efficency,link relaibility andSignal to Noise Ratio (SNR).The effect of fading and interference always causes an issue for si...

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Main Authors: N. Sathish Kumar, K. R. Shankar Kumar
Format: Article
Language:English
Published: Prince of Songkla University 2011-06-01
Series:Songklanakarin Journal of Science and Technology (SJST)
Subjects:
ISI
BER
Online Access:http://rdo.psu.ac.th/sjstweb/journal/33-3/0125-3395-33-3-335-340.pdf
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spelling doaj-292a44b873ae4b1fabbec905343aa0c52020-11-25T00:02:05ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952011-06-01333335340Performance analysis and comparison of m x n zero forcing and MMSE equalizer based receiver for mimo wireless channelN. Sathish KumarK. R. Shankar KumarWireless transmission is affected by fading and interference effects which can be combated with equalizer.The useof MIMO system promises good improvement in terms of spectral efficency,link relaibility andSignal to Noise Ratio (SNR).The effect of fading and interference always causes an issue for signal recovery in wireless communication. Equalizationcompensates for Intersymbol Interference (ISI) created by multipath within time dispersive channels. This paper analyses theperformance of Zeroforcing and MMSE equalizer for MIMO wireless chaneels. The simulation results are obtained usingMatLab tool box version 7.0 at RF signal processing lab.The Bit Error Rate (BER) characteristics for the various transmittingand receiveing antennna is simulated in matlab tool box and many advantages and disdvantagesof the system is descrbed.The simulation results show that the equalizer based zero forcing receiver is good for noise free channel and is successfulin remving ISI,but MMSE is a better choice than ZF in terms of BER charateristics and under Noise performance.http://rdo.psu.ac.th/sjstweb/journal/33-3/0125-3395-33-3-335-340.pdfMIMOZero forcing EqualizerISIBERlinear equalizationMMSE
collection DOAJ
language English
format Article
sources DOAJ
author N. Sathish Kumar
K. R. Shankar Kumar
spellingShingle N. Sathish Kumar
K. R. Shankar Kumar
Performance analysis and comparison of m x n zero forcing and MMSE equalizer based receiver for mimo wireless channel
Songklanakarin Journal of Science and Technology (SJST)
MIMO
Zero forcing Equalizer
ISI
BER
linear equalization
MMSE
author_facet N. Sathish Kumar
K. R. Shankar Kumar
author_sort N. Sathish Kumar
title Performance analysis and comparison of m x n zero forcing and MMSE equalizer based receiver for mimo wireless channel
title_short Performance analysis and comparison of m x n zero forcing and MMSE equalizer based receiver for mimo wireless channel
title_full Performance analysis and comparison of m x n zero forcing and MMSE equalizer based receiver for mimo wireless channel
title_fullStr Performance analysis and comparison of m x n zero forcing and MMSE equalizer based receiver for mimo wireless channel
title_full_unstemmed Performance analysis and comparison of m x n zero forcing and MMSE equalizer based receiver for mimo wireless channel
title_sort performance analysis and comparison of m x n zero forcing and mmse equalizer based receiver for mimo wireless channel
publisher Prince of Songkla University
series Songklanakarin Journal of Science and Technology (SJST)
issn 0125-3395
publishDate 2011-06-01
description Wireless transmission is affected by fading and interference effects which can be combated with equalizer.The useof MIMO system promises good improvement in terms of spectral efficency,link relaibility andSignal to Noise Ratio (SNR).The effect of fading and interference always causes an issue for signal recovery in wireless communication. Equalizationcompensates for Intersymbol Interference (ISI) created by multipath within time dispersive channels. This paper analyses theperformance of Zeroforcing and MMSE equalizer for MIMO wireless chaneels. The simulation results are obtained usingMatLab tool box version 7.0 at RF signal processing lab.The Bit Error Rate (BER) characteristics for the various transmittingand receiveing antennna is simulated in matlab tool box and many advantages and disdvantagesof the system is descrbed.The simulation results show that the equalizer based zero forcing receiver is good for noise free channel and is successfulin remving ISI,but MMSE is a better choice than ZF in terms of BER charateristics and under Noise performance.
topic MIMO
Zero forcing Equalizer
ISI
BER
linear equalization
MMSE
url http://rdo.psu.ac.th/sjstweb/journal/33-3/0125-3395-33-3-335-340.pdf
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