Channel Estimation for Ambient Backscatter Communication Systems with Massive-Antenna Reader
April 06, 2019 Β· Declared Dead Β· π IEEE Transactions on Vehicular Technology
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Authors
Wenjing Zhao, Gongpu Wang, Saman Atapattu, Ruisi He, Ying-Chang Liang
arXiv ID
1904.03458
Category
eess.SP: Signal Processing
Cross-listed
cs.IT
Citations
59
Venue
IEEE Transactions on Vehicular Technology
Last Checked
5 months ago
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 channel estimation problem in AmBC systems with uniform linear array (ULA) at the reader which consists 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, Cramer-Rao lower bounds (CRLBs) 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.
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