Performance Analysis of Pre-Weighting Closed-Loop MIMO-OFDM Wireless System

碩士 === 國立臺灣海洋大學 === 通訊與導航工程系 === 98 === Unlike using a pre-coding scheme, a pre-weighting cooperated optimum decision rule is employed in our MIMO-OFDM closed-loop wireless system design. For closed-loop MIMO-OFDM system, it has advantages on maximizing received SINR and mitigation of the phase dist...

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Bibliographic Details
Main Authors: Hsiang-Fong Wang, 王翔鋒
Other Authors: John F. An
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/67847528007252771585
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Summary:碩士 === 國立臺灣海洋大學 === 通訊與導航工程系 === 98 === Unlike using a pre-coding scheme, a pre-weighting cooperated optimum decision rule is employed in our MIMO-OFDM closed-loop wireless system design. For closed-loop MIMO-OFDM system, it has advantages on maximizing received SINR and mitigation of the phase distortion on the feedback Channel State Information, therefor improves the system capacity. Bayes decision algorithm is developed and applied to the receive side, and feedback the optimum weighting vector to the mobile station via fast control feedback channel. The Monte Carlo Simulation in terms of BER performance of QPSK and 16QAM modulation over various spatially correlated fading and inter-subcarrier interference effects are performed and concluded. Meanwhile, the eigenvalue decomposition (EVD) is also investigated and commented for the MIMO-OFDM wireless in which the channel enhancement may not be true as we expected. On this thesis, the perfect CSI is assumed for Bayes decision rule and MIMO-OFDM system model is proposed for the analysis.