IEICE TRANSACTIONS on Fundamentals
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Finite-Size Correction of Expectation-Propagation Detection
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Summary :
Expectation propagation (EP) is a powerful algorithm for signal recovery in compressed sensing. This letter proposes correction of a variance message before denoising to improve the performance of EP in the high signal-to-noise ratio (SNR) regime for finite-sized systems. The variance massage is replaced by an observation-dependent consistent estimator of the mean-square error in estimation before denoising. Massive multiple-input multiple-output (MIMO) is considered to verify the effectiveness of the proposed correction. Numerical simulations show that the proposed variance correction improves the high SNR performance of EP for massive MIMO with a few hundred transmit and receive antennas.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E105-A No.1 pp.77-81
- Publication Date
- 2022/01/01
- Publicized
- 2021/07/19
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2021EAL2048
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Yuki OBA
Toyohashi University of Technology
Keigo TAKEUCHI
Toyohashi University of Technology
Keyword
Latest Issue
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Yuki OBA, Keigo TAKEUCHI, "Finite-Size Correction of Expectation-Propagation Detection" in IEICE TRANSACTIONS on Fundamentals,
vol. E105-A, no. 1, pp. 77-81, January 2022, doi: 10.1587/transfun.2021EAL2048.
Abstract: Expectation propagation (EP) is a powerful algorithm for signal recovery in compressed sensing. This letter proposes correction of a variance message before denoising to improve the performance of EP in the high signal-to-noise ratio (SNR) regime for finite-sized systems. The variance massage is replaced by an observation-dependent consistent estimator of the mean-square error in estimation before denoising. Massive multiple-input multiple-output (MIMO) is considered to verify the effectiveness of the proposed correction. Numerical simulations show that the proposed variance correction improves the high SNR performance of EP for massive MIMO with a few hundred transmit and receive antennas.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2021EAL2048/_p
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@ARTICLE{e105-a_1_77,
author={Yuki OBA, Keigo TAKEUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Finite-Size Correction of Expectation-Propagation Detection},
year={2022},
volume={E105-A},
number={1},
pages={77-81},
abstract={Expectation propagation (EP) is a powerful algorithm for signal recovery in compressed sensing. This letter proposes correction of a variance message before denoising to improve the performance of EP in the high signal-to-noise ratio (SNR) regime for finite-sized systems. The variance massage is replaced by an observation-dependent consistent estimator of the mean-square error in estimation before denoising. Massive multiple-input multiple-output (MIMO) is considered to verify the effectiveness of the proposed correction. Numerical simulations show that the proposed variance correction improves the high SNR performance of EP for massive MIMO with a few hundred transmit and receive antennas.},
keywords={},
doi={10.1587/transfun.2021EAL2048},
ISSN={1745-1337},
month={January},}
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TY - JOUR
TI - Finite-Size Correction of Expectation-Propagation Detection
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 77
EP - 81
AU - Yuki OBA
AU - Keigo TAKEUCHI
PY - 2022
DO - 10.1587/transfun.2021EAL2048
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E105-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2022
AB - Expectation propagation (EP) is a powerful algorithm for signal recovery in compressed sensing. This letter proposes correction of a variance message before denoising to improve the performance of EP in the high signal-to-noise ratio (SNR) regime for finite-sized systems. The variance massage is replaced by an observation-dependent consistent estimator of the mean-square error in estimation before denoising. Massive multiple-input multiple-output (MIMO) is considered to verify the effectiveness of the proposed correction. Numerical simulations show that the proposed variance correction improves the high SNR performance of EP for massive MIMO with a few hundred transmit and receive antennas.
ER -
English
