Robust Superimposed Training Designs for MIMO Relaying Systems Under General Power Constraints

In this paper, we investigate the superimposed training matrix designs for the channel estimation of amplify-and-forward (AF) multiple-input multiple-output (MIMO) relaying systems under general power constraints. Furthermore, the imperfect channel and colored noise statistical information models wi...

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Bibliographic Details
Published in:	IEEE access Vol. 7; pp. 80404 - 80420
Main Authors:	Rong, Beini, Zhang, Zhongshan, Zhao, Xin, Yu, Xiaoyun
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	AF MIMO relaying systems Algorithms Channel estimation Codes Colored noise Complexity Error analysis general power constraints Iterative methods LMMSE channel estimation Mathematical models Matrices (mathematics) Maximization MIMO (control systems) MIMO communication Optimization Receivers Relaying Relays robust training designs Robustness (mathematics) Semidefinite programming Training unitarily-invariant uncertainty sets Upper bounds
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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