Time Domain Channel Estimation for Time and Frequency Selective Millimeter Wave MIMO Hybrid Architectures: Sparse Bayesian Learning-Based Kalman Filter-Reference-Cited by-同舟云学术

Time Domain Channel Estimation for Time and Frequency Selective Millimeter Wave MIMO Hybrid Architectures: Sparse Bayesian Learning-Based Kalman Filter

Published:2020-11-23 Issue:3 Volume:117 Page:2453-2473
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Shoukath Ali K.,Sampath P.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1007/s11277-020-07986-9.pdf

Reference36 articles.

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3. Heath, R. W., Gonzalez-Prelcic, N., Rangan, S., Roh, W., & Sayeed, A. M. (2016). An overview of signal processing techniques for millimetre wave MIMO systems. IEEE Journal of Selected Topics in Signal Processing, 10(3), 436–453.

4. Giannetti, F., Luise, M., & Reggiannini, R. (1999). Mobile and personal communications in the 60 GHz band: A survey. Wireless Personal Communications, 10(2), 207–243.

5. El Ayach, O., Rajagopal, S., Abu-Surra, S., Pi, Z., & Heath, R. W. (2014). Spatially sparse precoding in millimeter wave MIMO systems. IEEE Transactions on Wireless Communications, 13(3), 1499–1513.

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