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dc.contributor.authorLi, Weien
dc.contributor.authorZhang, Yueen
dc.contributor.authorZhang, Yuanen
dc.contributor.authorHuang, Li-Keen
dc.contributor.authorCosmas, Johnen
dc.contributor.authorMaple, Carstenen
dc.date.accessioned2014-11-21T13:20:24Z
dc.date.available2014-11-21T13:20:24Z
dc.date.issued2013-06
dc.identifier.citationWei Li; Yue Zhang; Yuan Zhang; Li-ke Huang; Cosmas, J.; Maple, C. (2013) 'Subspace-based SNR estimator for OFDM system under different channel conditions', Broadband Multimedia Systems and Broadcasting (BMSB), 2013 IEEE International Symposium on, London, UK, 5-7 June, pp.1-5en
dc.identifier.doi10.1109/BMSB.2013.6621687
dc.identifier.urihttp://hdl.handle.net/10547/335951
dc.description.abstractSignal-to-noise ratio (SNR) estimation plays an important role to adaptive modulation in Evolved Multimedia Broadcast Multicast Services (eMBMS). Based on the knowledge that the received signal space consists of signal subspace and noise subspace, we propose a subspace-based SNR estimation solution to cope with the time-varying channel with frequency selective effect and different OFDM pilot structure situations in eMBMS. The simulation is carried out on both PC and Aeroflex PXI platform. Simulation results show this proposed method gives good performance with different eMBMS pilot length and time-varying channels.
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6621687en
dc.subjectOFDM modulationen
dc.subjectadaptive estimationen
dc.subjectmulticast communicationen
dc.subjecttime-varying channelsen
dc.subjectmultimedia communicationen
dc.titleSubspace-based SNR estimator for OFDM system under different channel conditionsen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
html.description.abstractSignal-to-noise ratio (SNR) estimation plays an important role to adaptive modulation in Evolved Multimedia Broadcast Multicast Services (eMBMS). Based on the knowledge that the received signal space consists of signal subspace and noise subspace, we propose a subspace-based SNR estimation solution to cope with the time-varying channel with frequency selective effect and different OFDM pilot structure situations in eMBMS. The simulation is carried out on both PC and Aeroflex PXI platform. Simulation results show this proposed method gives good performance with different eMBMS pilot length and time-varying channels.


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