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Appl. Sci. 2018, 8(5), 754; https://doi.org/10.3390/app8050754

Compressive Sensing-Based Sparsity Adaptive Channel Estimation for 5G Massive MIMO Systems

1
Department of Electrical Engineering, University of Engineering & Technology, Peshawar 814, KPK, Pakistan
2
Endicott College of International Studies, Woosong University, Daejeon 300718, Korea
3
Department of Electronics Engineering, Hankuk University of Foreign Studies, Yongin 17035, Korea
*
Authors to whom correspondence should be addressed.
Received: 30 March 2018 / Revised: 28 April 2018 / Accepted: 7 May 2018 / Published: 9 May 2018
(This article belongs to the Section Computer Science and Electrical Engineering)
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Abstract

Aiming at a massive multi-input multi-output (MIMO) system with unknown channel path number, a sparse adaptive compressed sensing channel estimation algorithm is proposed, which is the block sparsity adaptive matching pursuit (BSAMP) algorithm. Based on the joint sparsity of subchannels in massive MIMO systems, the initial set of support elements can be quickly and selectively selected by setting the threshold and finding the maximum backward difference position. At the same time, the energy dispersal caused by the non-orthogonality of the observation matrix is considered, and the estimation performance of the algorithm is improved. The regularization of the elements secondary screening is deployed, in order to improve the stability of the algorithm. Simulation results show that the proposed algorithm can quickly and accurately recover massive MIMO channel state information with unknown channel sparsity and high computational efficiency compared with other algorithms. View Full-Text
Keywords: 5G; massive MIMO; compressive sensing; sparsity adaptive; a channel estimation 5G; massive MIMO; compressive sensing; sparsity adaptive; a channel estimation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Khan, I.; Singh, M.; Singh, D. Compressive Sensing-Based Sparsity Adaptive Channel Estimation for 5G Massive MIMO Systems. Appl. Sci. 2018, 8, 754.

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