Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.506946
Title: Signal Processing in Arrayed MIMO Systems
Author: Wang, Xiao Lei
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2009
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Abstract:
Multiple-Input Multiple-Output (MIMO) systems, using antenna arrays at bothreceiver and transmitter, have shown great potential to provide high bandwidthutilization efficiency. Unlike other reported research on MIMO systems whichoften assumes independent antennas, in this thesis an arrayed MIMO systemframework is proposed, which provides a richer description of the channel charac-teristics and additional degrees of freedom in designing communication systems. Firstly, the spatial correlated MIMO system is studied as an array-to-arraysystem with each array (Tx or Rx) having predefined constrained aperture. TheMIMO system is completely characterized by its transmit and receive array man-ifolds and a new spatial correlation model other than Kronecker-based model isproposed. As this model is based on array manifolds, it enables the study of theeffect of array geometry on the capacity of correlated MIMO channels. Secondly, to generalize the proposed arrayed MIMO model to a frequencyselective fading scenario, the framework of uplink MIMO DS-CDMA (Direct-Sequence Code Division Multiple Access) systems is developed. DOD estimationis developed based on transmit beamrotation. A subspace-based joint DOA/TOAestimation scheme as well as various spatial temporal reception algorithms is alsoproposed. Finally, the downlink MIMO-CDMA systems in multiple-access multipath fading channels are investigated. Linear precoder and decoder optimization problemsare studied under different criterions. Optimization approaches with differentpower allocation schemes are investigated. Sub-optimization approaches withclose-form solution and thus less computation complexity are also proposed.
Supervisor: Manikas, Athanassios Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.506946  DOI: Not available
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