A Low Complexity Fixed Sphere Decoder with Statistical Threshold for MIMO Systems
Summary :
In this letter, we propose a low complexity fixed sphere decoder (FSD) with statistical threshold for multiple-input and multiple-output (MIMO) systems. The proposed algorithm is developed by applying two threshold-based pruning algorithms using an initial detection and statistical noise constraint to the FSD. The proposed FSD algorithm is suitable for a fully pipelined hardware implementation and also has low complexity because the threshold of the proposed pruning algorithm is pre-calculated and independently applied to the path without sorting operation. Simulation results show that the proposed FSD has the performance of the original FSD as well as a low complexity compared to the original FSD and other low complexity FSD algorithms.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.2 pp.735-739
- Publication Date
- 2015/02/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.735
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Jangyong PARK
Yonsei University
Yunho JUNG
Korea Aerospace University
Jaeseok KIM
Yonsei University
Keyword
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Jangyong PARK, Yunho JUNG, Jaeseok KIM, "A Low Complexity Fixed Sphere Decoder with Statistical Threshold for MIMO Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 2, pp. 735-739, February 2015, doi: 10.1587/transfun.E98.A.735.
Abstract: In this letter, we propose a low complexity fixed sphere decoder (FSD) with statistical threshold for multiple-input and multiple-output (MIMO) systems. The proposed algorithm is developed by applying two threshold-based pruning algorithms using an initial detection and statistical noise constraint to the FSD. The proposed FSD algorithm is suitable for a fully pipelined hardware implementation and also has low complexity because the threshold of the proposed pruning algorithm is pre-calculated and independently applied to the path without sorting operation. Simulation results show that the proposed FSD has the performance of the original FSD as well as a low complexity compared to the original FSD and other low complexity FSD algorithms.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.735/_p
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@ARTICLE{e98-a_2_735,
author={Jangyong PARK, Yunho JUNG, Jaeseok KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Low Complexity Fixed Sphere Decoder with Statistical Threshold for MIMO Systems},
year={2015},
volume={E98-A},
number={2},
pages={735-739},
abstract={In this letter, we propose a low complexity fixed sphere decoder (FSD) with statistical threshold for multiple-input and multiple-output (MIMO) systems. The proposed algorithm is developed by applying two threshold-based pruning algorithms using an initial detection and statistical noise constraint to the FSD. The proposed FSD algorithm is suitable for a fully pipelined hardware implementation and also has low complexity because the threshold of the proposed pruning algorithm is pre-calculated and independently applied to the path without sorting operation. Simulation results show that the proposed FSD has the performance of the original FSD as well as a low complexity compared to the original FSD and other low complexity FSD algorithms.},
keywords={},
doi={10.1587/transfun.E98.A.735},
ISSN={1745-1337},
month={February},}
Copy
TY - JOUR
TI - A Low Complexity Fixed Sphere Decoder with Statistical Threshold for MIMO Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 735
EP - 739
AU - Jangyong PARK
AU - Yunho JUNG
AU - Jaeseok KIM
PY - 2015
DO - 10.1587/transfun.E98.A.735
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2015
AB - In this letter, we propose a low complexity fixed sphere decoder (FSD) with statistical threshold for multiple-input and multiple-output (MIMO) systems. The proposed algorithm is developed by applying two threshold-based pruning algorithms using an initial detection and statistical noise constraint to the FSD. The proposed FSD algorithm is suitable for a fully pipelined hardware implementation and also has low complexity because the threshold of the proposed pruning algorithm is pre-calculated and independently applied to the path without sorting operation. Simulation results show that the proposed FSD has the performance of the original FSD as well as a low complexity compared to the original FSD and other low complexity FSD algorithms.
ER -
English
