Improved Channel Estimation in Spatially-Correlated Flat-Fading MIMO Systems: A Parametric Approach
Summary :
We address pilot-aided channel estimation for a flat-fading spatially-correlated MIMO system, which employing Uniform Linear Arrays (ULA) on dual side and working in sparse scattering (multipath) environment. In case of sparse scattering, channel matrix and spatial correlation of flat-fading MIMO systems are parameterized by structure of multipaths, which is represented as Direction of Arrivals (DOAs), Direction of Departures (DODs) and complex path fading of each path. Based on this and block-fading property of channel, we design a channel estimation method via estimating multipath parameters using ESPRIT-like DOA-Matrix method which exploits shift-invariance property of ULA. The proposed method is able to obtain improved Mean-Square-Error performance than Least-Square method without prior information of spatial correlation.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.2 pp.662-665
- Publication Date
- 2008/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.2.662
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Ming LUO, Qinye YIN, Ang FENG, "Improved Channel Estimation in Spatially-Correlated Flat-Fading MIMO Systems: A Parametric Approach" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 2, pp. 662-665, February 2008, doi: 10.1093/ietcom/e91-b.2.662.
Abstract: We address pilot-aided channel estimation for a flat-fading spatially-correlated MIMO system, which employing Uniform Linear Arrays (ULA) on dual side and working in sparse scattering (multipath) environment. In case of sparse scattering, channel matrix and spatial correlation of flat-fading MIMO systems are parameterized by structure of multipaths, which is represented as Direction of Arrivals (DOAs), Direction of Departures (DODs) and complex path fading of each path. Based on this and block-fading property of channel, we design a channel estimation method via estimating multipath parameters using ESPRIT-like DOA-Matrix method which exploits shift-invariance property of ULA. The proposed method is able to obtain improved Mean-Square-Error performance than Least-Square method without prior information of spatial correlation.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.2.662/_p
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@ARTICLE{e91-b_2_662,
author={Ming LUO, Qinye YIN, Ang FENG, },
journal={IEICE TRANSACTIONS on Communications},
title={Improved Channel Estimation in Spatially-Correlated Flat-Fading MIMO Systems: A Parametric Approach},
year={2008},
volume={E91-B},
number={2},
pages={662-665},
abstract={We address pilot-aided channel estimation for a flat-fading spatially-correlated MIMO system, which employing Uniform Linear Arrays (ULA) on dual side and working in sparse scattering (multipath) environment. In case of sparse scattering, channel matrix and spatial correlation of flat-fading MIMO systems are parameterized by structure of multipaths, which is represented as Direction of Arrivals (DOAs), Direction of Departures (DODs) and complex path fading of each path. Based on this and block-fading property of channel, we design a channel estimation method via estimating multipath parameters using ESPRIT-like DOA-Matrix method which exploits shift-invariance property of ULA. The proposed method is able to obtain improved Mean-Square-Error performance than Least-Square method without prior information of spatial correlation.},
keywords={},
doi={10.1093/ietcom/e91-b.2.662},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - Improved Channel Estimation in Spatially-Correlated Flat-Fading MIMO Systems: A Parametric Approach
T2 - IEICE TRANSACTIONS on Communications
SP - 662
EP - 665
AU - Ming LUO
AU - Qinye YIN
AU - Ang FENG
PY - 2008
DO - 10.1093/ietcom/e91-b.2.662
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2008
AB - We address pilot-aided channel estimation for a flat-fading spatially-correlated MIMO system, which employing Uniform Linear Arrays (ULA) on dual side and working in sparse scattering (multipath) environment. In case of sparse scattering, channel matrix and spatial correlation of flat-fading MIMO systems are parameterized by structure of multipaths, which is represented as Direction of Arrivals (DOAs), Direction of Departures (DODs) and complex path fading of each path. Based on this and block-fading property of channel, we design a channel estimation method via estimating multipath parameters using ESPRIT-like DOA-Matrix method which exploits shift-invariance property of ULA. The proposed method is able to obtain improved Mean-Square-Error performance than Least-Square method without prior information of spatial correlation.
ER -
English
