Modified MMSE SQRD Based Detection for Coded MIMO-OFDM Systems
Summary :
In this paper, a modified detection approach based on minimum mean-square error (MMSE) sorted QR decomposition (SQRD) for turbo coded multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is presented. In conventional MMSE SQRD based detection, a component of the symbol to be detected is still present in the interference term, leading to less efficient log likelihood ratios (LLRs) passed to soft decoder. By moving this symbol component into the signal term, the modified MMSE SQRD based detection can provide more efficient LLRs for soft decoder. Simulation results show that the proposed detection can achieve significant performance gain.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E96-B No.3 pp.830-835
- Publication Date
- 2013/03/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E96.B.830
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
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Keyword
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Wen ZHONG, Anan LU, Xiqi GAO, "Modified MMSE SQRD Based Detection for Coded MIMO-OFDM Systems" in IEICE TRANSACTIONS on Communications,
vol. E96-B, no. 3, pp. 830-835, March 2013, doi: 10.1587/transcom.E96.B.830.
Abstract: In this paper, a modified detection approach based on minimum mean-square error (MMSE) sorted QR decomposition (SQRD) for turbo coded multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is presented. In conventional MMSE SQRD based detection, a component of the symbol to be detected is still present in the interference term, leading to less efficient log likelihood ratios (LLRs) passed to soft decoder. By moving this symbol component into the signal term, the modified MMSE SQRD based detection can provide more efficient LLRs for soft decoder. Simulation results show that the proposed detection can achieve significant performance gain.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.830/_p
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@ARTICLE{e96-b_3_830,
author={Wen ZHONG, Anan LU, Xiqi GAO, },
journal={IEICE TRANSACTIONS on Communications},
title={Modified MMSE SQRD Based Detection for Coded MIMO-OFDM Systems},
year={2013},
volume={E96-B},
number={3},
pages={830-835},
abstract={In this paper, a modified detection approach based on minimum mean-square error (MMSE) sorted QR decomposition (SQRD) for turbo coded multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is presented. In conventional MMSE SQRD based detection, a component of the symbol to be detected is still present in the interference term, leading to less efficient log likelihood ratios (LLRs) passed to soft decoder. By moving this symbol component into the signal term, the modified MMSE SQRD based detection can provide more efficient LLRs for soft decoder. Simulation results show that the proposed detection can achieve significant performance gain.},
keywords={},
doi={10.1587/transcom.E96.B.830},
ISSN={1745-1345},
month={March},}
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TY - JOUR
TI - Modified MMSE SQRD Based Detection for Coded MIMO-OFDM Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 830
EP - 835
AU - Wen ZHONG
AU - Anan LU
AU - Xiqi GAO
PY - 2013
DO - 10.1587/transcom.E96.B.830
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2013
AB - In this paper, a modified detection approach based on minimum mean-square error (MMSE) sorted QR decomposition (SQRD) for turbo coded multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is presented. In conventional MMSE SQRD based detection, a component of the symbol to be detected is still present in the interference term, leading to less efficient log likelihood ratios (LLRs) passed to soft decoder. By moving this symbol component into the signal term, the modified MMSE SQRD based detection can provide more efficient LLRs for soft decoder. Simulation results show that the proposed detection can achieve significant performance gain.
ER -
English
