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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Prince of Songkla University
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Online Access: | http://rdo.psu.ac.th/sjstweb/journal/33-3/0125-3395-33-3-335-340.pdf |
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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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