Bayesian‐MLE signal detection for multi‐antenna ambient backscatter communication-Reference-Cited by-同舟云学术

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Bayesian‐MLE signal detection for multi‐antenna ambient backscatter communication

Published:2022-03-09 Issue:6 Volume:16 Page:672-684
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Jing Feng¹²³,Zhang Hailin¹³,Gao Mei¹²³,Xue Bin²⁴³

Affiliation:

1. School of Telecommunication Engineering Xidian University Xi'an China

2. School of Information and Communication National University of Defense Technology Xi'an China

3. Shaanxi Key Laboratory of Intelligence Coordination Networks Xi'an China

4. Faculty of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12366

Reference33 articles.

1. Design of Ambient Backscatter Training for Wireless Power Transfer

2. Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System With Online Reinforcement Learning

3. Deepan N. Rebekka B.:Backscatter‐assisted wireless powered communication networks with multiple antennas.Presented at WiSPNET(2020).https://ieeexplore.ieee.org/document/9198357

4. Noncoherent Detection for Ambient Backscatter Communications Over OFDM Signals

5. Hardware-Efficient Signal Detection for Ambient Backscattering Communications

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RIS-Assisted Multi-Antenna AmBC Signal Detection Using Deep Reinforcement Learning;Sensors;2022-08-16

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