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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Vydáno v:	IEEE access Ročník 7; s. 80404 - 80420
Hlavní autoři:	Rong, Beini, Zhang, Zhongshan, Zhao, Xin, Yu, Xiaoyun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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