IEEE 802.11n MIMO Modeling and Channel Estimation Implementation
With the increasing demand of higher data rate for telecommunication, the IEEE802.11n standard was constituted in 2009. Themost important character of the standard is MIMO-OFDM, which not only improves the throughput but also the spectrumefficiency and channel capacity. This report focuses on the ph...
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ndltd-UPSALLA1-oai-DiVA.org-liu-816472013-01-08T13:44:02ZIEEE 802.11n MIMO Modeling and Channel Estimation ImplementationengXu, XinLinköpings universitet, Institutionen för systemteknikLinköpings universitet, Tekniska högskolan2012SimulinkMIMOOFDMSTBCBeamformingMMSE detectorchannel estimationWith the increasing demand of higher data rate for telecommunication, the IEEE802.11n standard was constituted in 2009. Themost important character of the standard is MIMO-OFDM, which not only improves the throughput but also the spectrumefficiency and channel capacity. This report focuses on the physical layer IEEE802.11n model. By utilizing an existingSimulink based IEEE802.11n system, functionalities like MIMO (up to 4*4), OFDM, STBC, Beamforming, and MMSEdetector are simulated. The results such as bit error rate, packet error rate and bit rate with different system settings are given.Furthermore, the channel estimation process is clarified, and a DSP builder based MMSE detector is realized, which can fulfillexactly the same function as the Simulink model. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-81647application/pdfinfo:eu-repo/semantics/openAccess |
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English |
format |
Others
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Simulink MIMO OFDM STBC Beamforming MMSE detector channel estimation |
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Simulink MIMO OFDM STBC Beamforming MMSE detector channel estimation Xu, Xin IEEE 802.11n MIMO Modeling and Channel Estimation Implementation |
description |
With the increasing demand of higher data rate for telecommunication, the IEEE802.11n standard was constituted in 2009. Themost important character of the standard is MIMO-OFDM, which not only improves the throughput but also the spectrumefficiency and channel capacity. This report focuses on the physical layer IEEE802.11n model. By utilizing an existingSimulink based IEEE802.11n system, functionalities like MIMO (up to 4*4), OFDM, STBC, Beamforming, and MMSEdetector are simulated. The results such as bit error rate, packet error rate and bit rate with different system settings are given.Furthermore, the channel estimation process is clarified, and a DSP builder based MMSE detector is realized, which can fulfillexactly the same function as the Simulink model. |
author |
Xu, Xin |
author_facet |
Xu, Xin |
author_sort |
Xu, Xin |
title |
IEEE 802.11n MIMO Modeling and Channel Estimation Implementation |
title_short |
IEEE 802.11n MIMO Modeling and Channel Estimation Implementation |
title_full |
IEEE 802.11n MIMO Modeling and Channel Estimation Implementation |
title_fullStr |
IEEE 802.11n MIMO Modeling and Channel Estimation Implementation |
title_full_unstemmed |
IEEE 802.11n MIMO Modeling and Channel Estimation Implementation |
title_sort |
ieee 802.11n mimo modeling and channel estimation implementation |
publisher |
Linköpings universitet, Institutionen för systemteknik |
publishDate |
2012 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-81647 |
work_keys_str_mv |
AT xuxin ieee80211nmimomodelingandchannelestimationimplementation |
_version_ |
1716527483190247424 |