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dc.contributor.authorKetonen, Johanna
Juntti, Markku
Ylioinas, Jari
Cavallaro, Joseph R. 2012-12-05T16:04:21Z 2012-12-05T16:04:21Z 2012-12-01
dc.identifier.citation J. Ketonen, M. Juntti, J. Ylioinas and J. R. Cavallaro, "Implementation of LS, MMSE and SAGE Channel Estimators for Mobile MIMO-OFDM," 2012.
dc.description.abstract The use of decision directed (DD) channel estimation in a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) downlink receiver is studied in this paper. The 3GPP long term evolution (LTE) based pilot structure is used as a benchmark. The space-alternating generalized expectation-maximization (SAGE) algorithm is used to improve the performance from that of the pilot symbol based least-squares (LS) channel estimator. The DD channel estimation improves the performance with high user velocities, where the pilot symbol density is not sufficient. Minimum mean square error (MMSE) filtering can also be used in estimating the channel in between pilot symbols. The DD channel estimation can be used to reduce the pilot overhead without any performance degradation by transmitting data instead of pilot symbols. The pilot overhead is reduced to a third of the LTE pilot overhead, obtaining a ten percent increase in throughput. The pilot based LS, MMSE and the SAGE channel estimators are implemented and the performance-complexity trade-offs are studied.
dc.language.iso eng
dc.publisher IEEE
DD Channel
dc.title Implementation of LS, MMSE and SAGE Channel Estimators for Mobile MIMO-OFDM
dc.type Conference paper CMC
dc.citation.location Pacific Grove, GA
dc.citation.conferenceName 2012 IEEE Asilomar Conference on Signals, Systems, and Computers
dc.citation.conferenceDate 2012
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  • CMC Publications [268]
    Publications by Rice Faculty and graduate students in multimedia communications
  • ECE Publications [1225]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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