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Channel Estimation for Ambient Backscatter Communication Systems With Massive-Antenna Reader.

Authors :
Zhao, Wenjing
Wang, Gongpu
Atapattu, Saman
He, Ruisi
Liang, Ying-Chang
Source :
IEEE Transactions on Vehicular Technology. Aug2019, Vol. 68 Issue 8, p8254-8258. 5p.
Publication Year :
2019

Abstract

Ambient backscatter, an emerging green communication technology, has aroused great interest from both academia and industry. One open problem for ambient backscatter communication (AmBC) systems is channel estimation for a massive-antenna reader. In this paper, we focus on a channel estimation problem in AmBC systems with a uniform linear array at the reader consisting of large number of antennas. We first design a two-step method to jointly estimate channel gains and direction of arrivals (DoAs), and then refine the estimates through angular rotation. Additionally, Cramér–Rao lower bounds are derived for both the modulus of the channel gain and the DoA estimates. Simulations are then provided to validate the analysis, and to show the efficiency of the proposed approach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189545
Volume :
68
Issue :
8
Database :
Academic Search Index
Journal :
IEEE Transactions on Vehicular Technology
Publication Type :
Academic Journal
Accession number :
138144819
Full Text :
https://doi.org/10.1109/TVT.2019.2925212