Low‐complexity large‐scale multiple‐input multiple‐output channel estimation using affine combination of sparse least mean square filters-Reference-Cited by-同舟云学术

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Low‐complexity large‐scale multiple‐input multiple‐output channel estimation using affine combination of sparse least mean square filters

Published:2015-11 Issue:17 Volume:9 Page:2168-2175
ISSN:1751-8636
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Gui Guan¹,Liu Ning²,Xu Li¹,Adachi Fumiyuki³

Affiliation:

1. Department of Electronics and Information SystemsAkita Prefectural UniversityYurihonjo015‐0055Japan

2. Department of Electronic EngineeringShanghai Jiao Tong UniversityShanghai200240People's Republic of China

3. Department of Communications EngineeringGraduate School of EngineeringTohoku UniversitySendai980‐8579Japan

Funder

Japan Society for the Promotion of Science

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2014.0979

Reference34 articles.

1. Five disruptive technology directions for 5G

2. Low‐complexity near‐optimal signal detection for uplink large‐scale MIMO systems

3. Spatially correlated channel estimation based on block iterative support detection for massive MIMO systems

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