Architecture and Algorithm for a Stochastic Soft-output MIMO Detector

dc.citation.conferenceDate2007en_US
dc.citation.conferenceNameForty-First Asilomar Conference on Signals, Systems and Computersen_US
dc.citation.firstpage1034
dc.citation.lastpage1038
dc.citation.locationPacific Grove, CAen_US
dc.contributor.authorAmiri, Kiarash
dc.contributor.authorRadosavljevic, Predrag
dc.contributor.authorCavallaro, Joseph R.
dc.contributor.orgCMCen_US
dc.date.accessioned2012-04-23T18:19:21Z
dc.date.available2012-04-23T18:19:21Z
dc.date.issued2007-11-04eng
dc.description.abstractIn this paper, we propose a novel architecture for a soft-output stochastic detector in multiple-input, multiple-output (MIMO) systems. The stochastic properties of this detector are studied and derived in this work, and several complexity reduction techniques are proposed to significantly reduce its cost from an architecture-implementation perspective. We also propose an efficient architecture to implement this detector. Finally, this detector is incorporated into an iterative detectiondecoding structure, and through simulations, it is shown that the overall frame error rate (FER) performance and complexity is of the same order as that of the conventional K-best sphere detector.en_US
dc.description.sponsorshipNokia Corporationen_US
dc.description.sponsorshipXilinx Inc.en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationK. Amiri, P. Radosavljevic and J. R. Cavallaro, "Architecture and Algorithm for a Stochastic Soft-output MIMO Detector," 2007.*
dc.identifier.doihttp://dx.doi.org/10.1109/ACSSC.2007.4487378en_US
dc.identifier.urihttps://hdl.handle.net/1911/64029
dc.language.isoengen
dc.publisherIEEEen_US
dc.subjectComputational modelingen_US
dc.subjectComputer architectureen_US
dc.subjectDetectorsen_US
dc.titleArchitecture and Algorithm for a Stochastic Soft-output MIMO Detectoren_US
dc.typeConference paperen_US
dc.type.dcmiTexten
dc.type.dcmiTexten_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2007_Asilomar_Amiri.pdf
Size:
1.21 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description: