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

Authors :: Ying-Chang Liang
Wenjing Zhao
Gongpu Wang
Ruisi He
Saman Atapattu
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 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.<br />5 figures, submitted to IEEE Transactions on Vehicular Technology, 29 March, 2019

Subjects :: Signal Processing (eess.SP)
FOS: Computer and information sciences
Backscatter
Computer Networks and Communications
Computer science
Computer Science - Information Theory
Aerospace Engineering
050801 communication & media studies
02 engineering and technology
Communications system
0508 media and communications
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
FOS: Electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Electrical Engineering and Systems Science - Signal Processing
Computer Science::Information Theory
Estimation
Information Theory (cs.IT)
05 social sciences
020206 networking & telecommunications
Automotive Engineering
Radio frequency
Antenna (radio)
Focus (optics)
Communication channel

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