NDLI: Structured compressive sensing-based non-orthogonal time-domain training channel state information acquisition for multiple input multiple output systems

Content Provider	IET Digital Library
Author	Ding, Wenbo Yang, Fang Liu, Sicong Song, Jian
Abstract	In practical multiple input multiple output (MIMO) systems, accurate knowledge of the channel state information (CSI) is a prerequisite to guarantee the system performance. The conventional CSI acquisition methods for MIMO system usually rely on the orthogonal (either time- or frequency-domain) training sequences (TSs) to estimate the channel associated with each transmit–receive antenna pair, which is not spectrally efficient. This study proposes a non-orthogonal time-domain training-based CSI acquisition approach for MIMO systems under the framework of structured compressive sensing. By exploiting the spatial–temporal correlations of the sparse MIMO channels, a spatially–temporally spARsity-adaptivE-simultaneous orthogonal matching pursuit algorithm is proposed, which could use the inter-block interference free region of very small dimension within the received TS to recover the multiple channels. Furthermore, the proposed algorithm could utilise the priori channel partial common support to improve the recovery probability and reduce the complexity. Simulation results show that the proposed scheme has better performance and higher spectral efficiency than the conventional MIMO schemes, which might be an appealing solution for the future wireless communications.
Starting Page	685
Ending Page	690
Page Count	6
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 6, Apr (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0697
Journal	IET Communications
Publisher Date	2016-04-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Channel Estimation Communication Channel Equalisation And Identification Compressed Sensing CSI Acquisition Method Electromagnetic Compatibility Inter-block Interference Free Region Interference MIMO Communication MIMO System Multiple Input Multiple Output System Orthogonal Training Sequence Radio Link And Equipment Signal Processing And Detection Spatial-temporal Correlations Spatially-temporally Sparsity-adaptive-simultaneous Orthogonal Matching Pursuit Algorithm Structured Compressive Sensing-based Non-orthogonal Time-domain Training Channel State Information Acquisition Transmit-receive Antenna Pair
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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