Journal article

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

Wenjing Zhao, Gongpu Wang, Saman Atapattu, Ruisi He, Ying-Chang Liang

IEEE Transactions on Vehicular Technology | Institute of Electrical and Electronics Engineers | Published : 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 provid..

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Grants

Awarded by Fundamental Research Funds for the Central Universities


Awarded by Australian Research Council through the Discovery Early Career Researcher Award


Awarded by Key Laboratory of Universal Wireless Communications (BUPT), Ministry of Education, P. R. China


Awarded by National Natural Science Foundation of China


Funding Acknowledgements

This work was supported in part by the Fundamental Research Funds for the Central Universities under Grants 2018YJS047, 2016JBZ006, and 2017RC031, in part by the Australian Research Council through the Discovery Early Career Researcher Award DE160100020, in part by the Key Laboratory of Universal Wireless Communications (BUPT), Ministry of Education, P. R. China under Grant KFKT-2018104, and in part by the National Natural Science Foundation of China under Grants 2016YFE0200900, 61571037, and 61871026.