Abstract
This paper proposes a reliability-Based turbo detection scheme for multiple-input multiple-output (MIMO) systems with frequency-selective fading. the proposed scheme performs iterative successive soft interference cancellation (SSIC) with a block decision-feedback equalizer (BDFE). to minimize the negative impacts of error propagation in SSIC, we propose a new group-wise reliability-Based ordering scheme, where neighboring symbols that severely interfere with each other are clustered into the same group, and for each group, more "reliable" symbols are detected before less "reliable" ones. the symbol reliability is measured by using the symbol a priori probability, which is a unique byproduct of the turbo detection and can be obtained with little overhead. the reliability information is updated iteratively as the turbo detection progresses, and this leads to a dynamic ordering scheme that is unavailable in conventional ordered successive interference cancellation (OSIC) schemes. Simulation results show that extra performance gain is obtained at a very small ordering cost, and the reliability-Based turbo detection can achieve a performance that is only 0.5 dB away from the optimum maximum a posteriori probability (MAP) detection. © 2011 IEEE.
Recommended Citation
J. Tao et al., "Reliability-Based Turbo Detection," IEEE Transactions on Wireless Communications, vol. 10, no. 7, pp. 2352 - 2361, article no. 5783005, Institute of Electrical and Electronics Engineers, Jul 2011.
The definitive version is available at https://doi.org/10.1109/TWC.2011.052311.101753
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Block decision-feedback equalizer (BDFE); multiple-input multiple-output (MIMO); reliability-based turbo detection; symbol reliability
International Standard Serial Number (ISSN)
1536-1276
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jul 2011
Comments
National Science Foundation, Grant 0917041