IEICE TRANSACTIONS on Fundamentals
Expectation-Propagation Detection for Generalized Spatial Modulation with Sparse Orthogonal Precoding
Summary :
Sparse orthogonal matrices are proposed to improve the convergence property of expectation propagation (EP) for sparse signal recovery from compressed linear measurements subject to known dense and ill-conditioned multiplicative noise. As a typical problem, this letter addresses generalized spatial modulation (GSM) in over-loaded and spatially correlated multiple-input multiple-output (MIMO) systems. The proposed sparse orthogonal matrices are used in precoding and constructed efficiently via a generalization of the fast Walsh-Hadamard transform. Numerical simulations show that the proposed sparse orthogonal precoding improves the convergence property of EP in over-loaded GSM MIMO systems with known spatially correlated channel matrices.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E104-A No.3 pp.661-664
- Publication Date
- 2021/03/01
- Publicized
- 2020/09/11
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2020EAL2066
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Tatsuya SUGIYAMA
Toyohashi University of Technology
Keigo TAKEUCHI
Toyohashi University of Technology
Keyword
Latest Issue
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Tatsuya SUGIYAMA, Keigo TAKEUCHI, "Expectation-Propagation Detection for Generalized Spatial Modulation with Sparse Orthogonal Precoding" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 3, pp. 661-664, March 2021, doi: 10.1587/transfun.2020EAL2066.
Abstract: Sparse orthogonal matrices are proposed to improve the convergence property of expectation propagation (EP) for sparse signal recovery from compressed linear measurements subject to known dense and ill-conditioned multiplicative noise. As a typical problem, this letter addresses generalized spatial modulation (GSM) in over-loaded and spatially correlated multiple-input multiple-output (MIMO) systems. The proposed sparse orthogonal matrices are used in precoding and constructed efficiently via a generalization of the fast Walsh-Hadamard transform. Numerical simulations show that the proposed sparse orthogonal precoding improves the convergence property of EP in over-loaded GSM MIMO systems with known spatially correlated channel matrices.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020EAL2066/_p
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@ARTICLE{e104-a_3_661,
author={Tatsuya SUGIYAMA, Keigo TAKEUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Expectation-Propagation Detection for Generalized Spatial Modulation with Sparse Orthogonal Precoding},
year={2021},
volume={E104-A},
number={3},
pages={661-664},
abstract={Sparse orthogonal matrices are proposed to improve the convergence property of expectation propagation (EP) for sparse signal recovery from compressed linear measurements subject to known dense and ill-conditioned multiplicative noise. As a typical problem, this letter addresses generalized spatial modulation (GSM) in over-loaded and spatially correlated multiple-input multiple-output (MIMO) systems. The proposed sparse orthogonal matrices are used in precoding and constructed efficiently via a generalization of the fast Walsh-Hadamard transform. Numerical simulations show that the proposed sparse orthogonal precoding improves the convergence property of EP in over-loaded GSM MIMO systems with known spatially correlated channel matrices.},
keywords={},
doi={10.1587/transfun.2020EAL2066},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - Expectation-Propagation Detection for Generalized Spatial Modulation with Sparse Orthogonal Precoding
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 661
EP - 664
AU - Tatsuya SUGIYAMA
AU - Keigo TAKEUCHI
PY - 2021
DO - 10.1587/transfun.2020EAL2066
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2021
AB - Sparse orthogonal matrices are proposed to improve the convergence property of expectation propagation (EP) for sparse signal recovery from compressed linear measurements subject to known dense and ill-conditioned multiplicative noise. As a typical problem, this letter addresses generalized spatial modulation (GSM) in over-loaded and spatially correlated multiple-input multiple-output (MIMO) systems. The proposed sparse orthogonal matrices are used in precoding and constructed efficiently via a generalization of the fast Walsh-Hadamard transform. Numerical simulations show that the proposed sparse orthogonal precoding improves the convergence property of EP in over-loaded GSM MIMO systems with known spatially correlated channel matrices.
ER -
English
