| dc.contributor.advisor |
Cavallaro, Joseph R. |
dc.creator |
Amiri, Kiarash
|
| dc.date.accessioned |
2009-06-03T21:11:06Z |
| dc.date.available |
2009-06-03T21:11:06Z |
| dc.date.issued |
2007 |
| dc.identifier.uri |
http://hdl.handle.net/1911/20484
|
| 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 |
PDF |
| 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 |
| thesis.degree.discipline |
Engineering |
| thesis.degree.grantor |
Rice University |
| thesis.degree.level |
Masters |
| dc.identifier.citation |
Amiri, Kiarash. "Architecture for detection in MIMO wireless systems." Masters Thesis, Rice University, ETD http://hdl.handle.net/1911/20484. |
