Architecture for detection in MIMO wireless systems

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dc.contributor.advisor Cavallaro, Joseph R.
dc.creator Amiri, Kiarash 2009-06-03T21:11:06Z 2009-06-03T21:11:06Z 2007
dc.description.abstract In 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.
dc.format.extent 72 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subject Engineering, Electronics and Electrical
dc.title Architecture for detection in MIMO wireless systems
dc.type.genre Thesis
dc.type.material Text Engineering Rice University Masters
dc.identifier.citation Amiri, Kiarash. (2007) "Architecture for detection in MIMO wireless systems." Masters Thesis, Rice University.

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