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A Method for Reducing the Decoding Complexity of Turbo MIMO
Date Issued
2006
Date
2006
Author(s)
LAI, CHIEN-TING
DOI
en-US
Abstract
With the rapid increasing demand for wireless communication bandwidth, Multiple Input Multiple Output (MIMO) systems draw much attention because it’s able to provide higher capacity than single input single output (SISO) system.
Turbo-processing principle has been successfully applied to MIMO systems, one of them is called Turbo BLAST. We need a BLAST dempapper delivering a-posteriori probabilities (APP) about the coded bits. Full-APP detection would lead to prohibitive complexity.
LISS(LiSt-Sequential ) demapper accepts a priori probability and produce posteriori-information with reduced complexity. The decoding complexity reduction of Turbo BLAST can be achieved by applying sequential decoding technique on calculation of posteriori probability of demapper.
We made modification on the LISS algorithm by considering the ordering of the tree search in the LISS. Simulation results show that the performance of LISS with proper ordering will be better than that of LISS without proper ordering.
Turbo-processing principle has been successfully applied to MIMO systems, one of them is called Turbo BLAST. We need a BLAST dempapper delivering a-posteriori probabilities (APP) about the coded bits. Full-APP detection would lead to prohibitive complexity.
LISS(LiSt-Sequential ) demapper accepts a priori probability and produce posteriori-information with reduced complexity. The decoding complexity reduction of Turbo BLAST can be achieved by applying sequential decoding technique on calculation of posteriori probability of demapper.
We made modification on the LISS algorithm by considering the ordering of the tree search in the LISS. Simulation results show that the performance of LISS with proper ordering will be better than that of LISS without proper ordering.
Subjects
多重收發天線系統
MIMO
Turbo MIMO
Turbo BLAST
LISS
Type
thesis
File(s)
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Name
ntu-95-R91942096-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
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