NDLI: Matching pursuit-based singular vectors estimation for large MIMO beamforming

Content Provider	IET Digital Library
Author	Wang, Mengyao Cheng, Xiantao Zhu, Xiaodong
Abstract	In multiple-input–multiple-output (MIMO) systems, beamforming can maximise the signal-to-noise ratio by using the principal right and left singular vectors of the channel matrix as transmit and receive beam vectors, respectively. A matching pursuit (MP)-based singular vectors estimation (SVE) scheme is proposed, referred to as MP-SVE, for beamforming transmission and detection in large MIMO systems. By judiciously exploiting the specific properties of large MIMO channel matrix, the proposed MP-SVE is able to determine the optimal beamforming vector pair while circumventing the burdensome channel estimation and singular value decomposition. The simulations verify that with the same training overhead, the proposed MP-SVE remarkably outperforms the state-of-the-art counterparts.
Starting Page	56
Ending Page	57
Page Count	2
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 1, Jan (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.3197
Journal	Electronics Letters
Publisher Date	2014-12-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Array Signal Processing Channel Estimation Communication Channel Equalisation And Identification Interpolation And Function Approximation Iterative Method Left Singular Vector Matching Pursuit-based Singular Vector Estimation MIMO Beamforming MIMO Channel Matrix MIMO Communication MP-SVE Multiple-input–multiple-output Systems Numerical Analysis Optimal Beamforming Vector Pair Radio Link And Equipment Right Singular Vector Signal Processing And Detection Signal to Noise Ratio Singular Value Decomposition SNR SVD
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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