Optimum Decision Rule applied to STBC 4x1 MIMO Wireless Receiver Design
碩士 === 國立臺灣海洋大學 === 通訊與導航工程系 === 97 === This thesis mainly investigates the system performance of MIMO 4-by-1, incorporated with a Bayes decision rule. Apart from using conventional Space-Time Block Code and Multiple-Input Multiple-Output (STBC-MIMO) detection, this proposed scheme provides relative...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2009
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/18722825809166040304 |
| Summary: | 碩士 === 國立臺灣海洋大學 === 通訊與導航工程系 === 97 === This thesis mainly investigates the system performance of MIMO 4-by-1, incorporated with a Bayes decision rule. Apart from using conventional Space-Time Block Code and Multiple-Input Multiple-Output (STBC-MIMO) detection, this proposed scheme provides relatively contribution to the sub-channel enhancement and signal robustness in the spatially correlated multipath fading channel.
To validate our proposed scheme, the channel simulation using Jakes model for generating independently and identically distributed (i.i.d.) multipath fading channel and Kronecker channel matrix for spatially correlated antenna structure in the transmitter end are adopted to mimic the realistic MIMO channel. The STBC applied for this analysis includes the half-rate full-diversity and full-rate half-diversity schemes.
The Bayes decision rule is to generate the optimum weights which maximizes the most likely “closest” transmitted signal power to the received vector with a minimum ‘Risk’ criterion. The simulation results demonstrate remark performance improvement in the Bit-Error-Rate and cumulative eigen-distribution using this optimum weights.
|
|---|