Please use this identifier to cite or link to this item: https://doi.org/10.1109/GLOCOM.2005.1578064
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dc.titleA pilot-aided non-resampling sequential Monte Carlo detector for coded MIMO-OFDM systems
dc.contributor.authorJohn, T.S.
dc.contributor.authorNallanathan, A.
dc.contributor.authorArmand, M.A.
dc.date.accessioned2014-06-19T02:55:47Z
dc.date.available2014-06-19T02:55:47Z
dc.date.issued2005
dc.identifier.citationJohn, T.S.,Nallanathan, A.,Armand, M.A. (2005). A pilot-aided non-resampling sequential Monte Carlo detector for coded MIMO-OFDM systems. GLOBECOM - IEEE Global Telecommunications Conference 4 : 2250-2254. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/GLOCOM.2005.1578064" target="_blank">https://doi.org/10.1109/GLOCOM.2005.1578064</a>
dc.identifier.isbn0780394143
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69006
dc.description.abstractIn this paper, we propose a sequential Monte Carlo (SMC) symbol detector for differentially encoded multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. We first propose the periodic termination of differential phase trellis and it is seen that this method yields advantages that allow us to simplify the pilot-aided SMC detector. Specifically, the resampling step that is present in conventional SMC methods is circumvented, and the multi-dimensional distribution required for sequence imputations reduces to a simple product of one-dimensional likelihood functions and a priori probabilities that are easily obtained from the decoder. This non-resampling SMC detector is applied to both convolutional-coded and low-density parity check (LDPC)-coded MIMO-OFDM systems and simulation results suggest the promising performance of our proposed detector. © 2005 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/GLOCOM.2005.1578064
dc.sourceScopus
dc.subjectIterative receivers
dc.subjectMultiple-input multiple-output (MIMO)
dc.subjectOrthogonal frequency division multiplexing (OFDM)
dc.subjectSequential Monte Carlo methods
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/GLOCOM.2005.1578064
dc.description.sourcetitleGLOBECOM - IEEE Global Telecommunications Conference
dc.description.volume4
dc.description.page2250-2254
dc.identifier.isiutNOT_IN_WOS
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