A Signal-to-Data Translation Model for Robust Backscatter Communications

Singi Jeong,Yusung Kim,Jaemin Shin

doi:10.1109/access.2022.3155879

Singi Jeong, Yusung Kim + Show 1 more

Open Access

https://doi.org/10.1109/access.2022.3155879

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Abstract

Backscatter communication is a promising technology in the hyper-connected era. Because of its ultra-low energy consumption, it can be used in various applications, but there are performance issues due to high uncertainty. We propose a signal-to-data translation model that can transform an entire backscatter signal into the original data. To train the translation model, we developed an automation framework that can efficiently collect datasets. We also proposed a data augmentation technique suitable for backscatter signals. In extensive experiments, our model significantly outperformed a simple rule-based decoding method and a commercial RFID reader. The proposed model showed consistent performance gains across different locations, obstacles, and mobility scenarios indicating a good generalization of learning.

Highlights

Backscatter communication can transmit data by reflecting surrounding RF signals without generating its own carrier signal. It can reduce energy consumption by tens to hundreds of times compared to regular wireless communication technologies such as WiFi and Bluetooth
RFID (Radio-Frequency Identification) is a typical technology based on backscatter communication that has achieved commercial success, and it is used in various fields such as logistics, and transportation [1]
The typical commercial technology based on backscatter communication is RFID

Summary

Introduction

I N the hyper-connected era, machine-to-machine communications and Internet of things technologies are essential. Backscatter communication can transmit data by reflecting (or backscattering) surrounding RF signals without generating its own carrier signal. It can reduce energy consumption by tens to hundreds of times compared to regular wireless communication technologies such as WiFi and Bluetooth. Because it does not need to generate its own carrier wave, it is able to deliver information with W -level power As a result, it is attracting attention as an ultra-low power communication technology. The typical commercial technology based on backscatter communication is RFID It is used in various fields, such as logistics, transportation, agriculture, healthcare, and sports [1]. We use the terminology low (L) and high (H) for low amplitude and high amplitude, respectively

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Results

Conclusion