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Training Signal Design for Correlated Massive MIMO Channel Estimation
KTH, School of Electrical Engineering (EES), Signal Processing.
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2017 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 16, no 2, p. 1135-1143Article in journal (Refereed) Published
Abstract [en]

In this paper, we propose a new approach to the design of training sequences that can be used for an accurate estimation of multi-input multi-output channels. The proposed method is particularly instrumental in training sequence designs that deal with three key challenges: 1) arbitrary channel and noise statistics that do not follow specific models, 2) limitations on the properties of the transmit signals, including total power, per-antenna power, having a constant-modulus, discrete-phase, or low peak-to-average-power ratio, and 3) signal design for large-scale or massive antenna arrays. Several numerical examples are provided to examine the proposed method.

Place, publisher, year, edition, pages
IEEE Press, 2017. Vol. 16, no 2, p. 1135-1143
Keywords [en]
Channel estimation, massive MIMO, peak-to-average-power ratio (PAR), signal design, training sequence
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-204103DOI: 10.1109/TWC.2016.2639485ISI: 000395825200036Scopus ID: 2-s2.0-85014922075OAI: oai:DiVA.org:kth-204103DiVA, id: diva2:1085201
Note

QC 20170328

Available from: 2017-03-28 Created: 2017-03-28 Last updated: 2017-11-29Bibliographically approved

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