An Adaptive Partial Parallel Multistage Detection for MIMO (V-BLAST) System

碩士 === 長庚大學 === 電機工程研究所 === 91 === Recently information theory research has shown that the rich-scattering wireless channel is capable of enormous theoretical capacities if an appropriate processing architecture is used. A previous proposed parallel multistage detection (similar to parall...

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Main Authors: Hsin-Lung Li, 李欣隆
Other Authors: Shih-Lin Wu
Format: Others
Language:en_US
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/83968522397726960760
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spelling ndltd-TW-091CGU004420042016-06-24T04:15:56Z http://ndltd.ncl.edu.tw/handle/83968522397726960760 An Adaptive Partial Parallel Multistage Detection for MIMO (V-BLAST) System 用於多天線系統之適應性部分多級平行偵測技術 Hsin-Lung Li 李欣隆 碩士 長庚大學 電機工程研究所 91 Recently information theory research has shown that the rich-scattering wireless channel is capable of enormous theoretical capacities if an appropriate processing architecture is used. A previous proposed parallel multistage detection (similar to parallel interference cancellation) for multiple antenna systems has less processing delay and better performance than the V-BLAST (Vertical- Bell Laboratories Layered Space-Time). However, owing to the disadvantage of full parallel interference cancellation, the performance of the previous scheme will degrade when the received powers of transmitted data bits at one receive antenna are unbalanced and/or when in the system is heavily loaded. Therefore, we introduce a partial weighting coefficient into the parallel multistage detection to overcome the performance degradation. The weighting coefficient is evaluated by the average correct probability (1-average error probability) of the previous stage’s decision, through this method, the weighting will change dynamically with the channel condition and previous decision. In the simulation, we show out the Symbol Error Rate of our proposed method superior to the full parallel multistage detection. Shih-Lin Wu 吳世琳 2003 學位論文 ; thesis 41 en_US
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description 碩士 === 長庚大學 === 電機工程研究所 === 91 === Recently information theory research has shown that the rich-scattering wireless channel is capable of enormous theoretical capacities if an appropriate processing architecture is used. A previous proposed parallel multistage detection (similar to parallel interference cancellation) for multiple antenna systems has less processing delay and better performance than the V-BLAST (Vertical- Bell Laboratories Layered Space-Time). However, owing to the disadvantage of full parallel interference cancellation, the performance of the previous scheme will degrade when the received powers of transmitted data bits at one receive antenna are unbalanced and/or when in the system is heavily loaded. Therefore, we introduce a partial weighting coefficient into the parallel multistage detection to overcome the performance degradation. The weighting coefficient is evaluated by the average correct probability (1-average error probability) of the previous stage’s decision, through this method, the weighting will change dynamically with the channel condition and previous decision. In the simulation, we show out the Symbol Error Rate of our proposed method superior to the full parallel multistage detection.
author2 Shih-Lin Wu
author_facet Shih-Lin Wu
Hsin-Lung Li
李欣隆
author Hsin-Lung Li
李欣隆
spellingShingle Hsin-Lung Li
李欣隆
An Adaptive Partial Parallel Multistage Detection for MIMO (V-BLAST) System
author_sort Hsin-Lung Li
title An Adaptive Partial Parallel Multistage Detection for MIMO (V-BLAST) System
title_short An Adaptive Partial Parallel Multistage Detection for MIMO (V-BLAST) System
title_full An Adaptive Partial Parallel Multistage Detection for MIMO (V-BLAST) System
title_fullStr An Adaptive Partial Parallel Multistage Detection for MIMO (V-BLAST) System
title_full_unstemmed An Adaptive Partial Parallel Multistage Detection for MIMO (V-BLAST) System
title_sort adaptive partial parallel multistage detection for mimo (v-blast) system
publishDate 2003
url http://ndltd.ncl.edu.tw/handle/83968522397726960760
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