A New Iterative Joint Detection and Decoding Algorithm for V-BLAST Architecture

Soft iterative detection and decoding techniques have been shown to be able to achieve near-capacity performance in multiple-antenna systems. To obtain the optimal soft information by marginalizing over the entire observation space is intractable: one must resort to suboptimal methods to implement s...

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Bibliographic Details
Published in:IEEE signal processing letters Vol. 16; no. 10; pp. 905 - 908
Main Authors: Meng-Ying Tsai, Yousefi, S.
Format: Journal Article
Language:English
Published: New York IEEE 01.10.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Bit error rate
Complexity
Computational complexity
Computational modeling
Decoding
Detectors
Error analysis
Error correction
Error detection
Interference cancellation
Iterative algorithms
Iterative decoding
Iterative methods
joint detection and decoding
MIMO
Optimization
soft-in/soft-out detectors
sphere decoder
Strategy
ISSN:1070-9908, 1558-2361
Online Access:Get full text
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Summary:Soft iterative detection and decoding techniques have been shown to be able to achieve near-capacity performance in multiple-antenna systems. To obtain the optimal soft information by marginalizing over the entire observation space is intractable: one must resort to suboptimal methods to implement such receivers. Although list-type detectors such as those founded upon the sphere decoding algorithm provide outstanding error performance, issues such as the optimal initial sphere radius, optimal radius update strategy, and their highly variable computational complexity are still unresolved. In this paper, a new detection scheme is proposed addressing the above issues. Our simulation results show that by sacrificing less than 2 dB at error rate of 10 -5 , we are able to gain up to 38.6% complexity reduction as well as a detector structure that is more suitable for practical system implementation.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2009.2026207