Architecture for detection in MIMO wireless systems

dc.contributor.advisorCavallaro, Joseph R.en_US
dc.creatorAmiri, Kiarashen_US
dc.date.accessioned2009-06-03T21:11:06Zen_US
dc.date.available2009-06-03T21:11:06Zen_US
dc.date.issued2007en_US
dc.description.abstractIn this work, we study two main classes of detectors for spatially multiplexed Multiple-input Multiple-output (MIMO) systems. For the first group, i.e. hard-decision detectors, we study sphere detectors, and propose novel algorithms as well as efficient architectures which make them suitable for low-complexity implementations. Furthermore, different variations of such detectors are prototyped on Xilinx FPGAs embedded on Wireless Open-access Research Platform (WARP). The second class of detectors are soft-decision detectors where, generally, soft sphere detectors are used; however, we study a new class of detectors that can serve the same purpose through a stochastic approach known as Markov Chain Monte Carlo (MCMC) technique. A general architecture with various complexity reduction techniques is proposed for this scenario, and it is shown that MCMC achieves better performance compared to sphere detector; while it requires less computation when higher order modulations are used.en_US
dc.format.extent72 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS E.E. 2007 AMIRIen_US
dc.identifier.citationAmiri, Kiarash. "Architecture for detection in MIMO wireless systems." (2007) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/20484">https://hdl.handle.net/1911/20484</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/20484en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectElectronicsen_US
dc.subjectElectrical engineeringen_US
dc.titleArchitecture for detection in MIMO wireless systemsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1441795.PDF
Size:
2.38 MB
Format:
Adobe Portable Document Format