Work

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

Year: 2019

Type: article

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.

Source: IEEE Transactions on Vehicular Technology

DOI: 10.1109/tvt.2019.2925212

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

Institutions: Beijing Jiaotong University, The University of Melbourne, University of Electronic Science and Technology of China

Language: English

Topic: Energy Harvesting in Wireless Networks

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Beijing University of Posts and Telecommunications, Australian Research Council, Fundamental Research Funds for the Central Universities