Channel Estimation Scheme for MIMO Communication Using Generalized Cholesky Decomposition and Back Substitution Methods-Reference-Cited by-同舟云学术

Channel Estimation Scheme for MIMO Communication Using Generalized Cholesky Decomposition and Back Substitution Methods

Published:2021-06 Issue:6 Volume:64 Page:319-324
ISSN:0735-2727
Container-title:Radioelectronics and Communications Systems
language:en
Short-container-title:Radioelectron.Commun.Syst.

Author:

Saxena P.,Patel S. B.^ORCID,Bhalani J. K.^ORCID

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.3103/S0735272721060054.pdf

Reference12 articles.

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2. E. Nayebi, B. D. Rao, "Semi-blind channel estimation for multiuser massive MIMO systems," IEEE Trans. Signal Process., v.66, n.2, p.540 (2018). DOI: https://doi.org/10.1109/TSP.2017.2771725.

3. H. Jie, "Semi-blind channel estimation of MIMO-OFDM systems based on improved PSO-Hopfield neural network," in Proceedings of the 2nd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence - ISMSI ’18 (ACM Press, New York, USA, 2018). DOI: https://doi.org/10.1145/3206185.3219779.

4. T. Peken, G. Vanhoy, T. Bose, "Blind channel estimation for massive MIMO," Analog Integr. Circuits Signal Process., v.91, n.2, p.257 (2017). DOI: https://doi.org/10.1007/s10470-017-0943-1.

5. A. Jagannatham, B. D. Rao, "A semi-blind technique for MIMO channel matrix estimation," in 2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2003 (IEEE Cat. No.03EX689) (IEEE, Washington, 2004). DOI: https://doi.org/10.1109/SPAWC.2003.1318971.