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Dual-Polarization Ambient Backscatter Communications and Signal Detection.

Youze Yang¹, Sen Yan¹

¹School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

Sensors (Basel, Switzerland)

|January 11, 2024

Summary

Ambient backscatter communication (AmBC) enhances batteryless IoT networks. Dual-polarization AmBC (DPAm) improves data rates by using polarization diversity, offering higher throughput than single-polarization systems.

Keywords:

IoT sensors ambient backscatter communications dual-polarization symbol detection

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Area of Science:

Electrical Engineering
Communications Engineering
Computer Engineering

Background:

Ambient backscatter communication (AmBC) enables batteryless IoT devices by using ambient RF signals.
Ultra-low power consumption makes AmBC critical for green Internet of Things (IoT) sensor networks.

Purpose of the Study:

Introduce the first complete dual-polarization AmBC (DPAm) system model.
Enhance AmBC capabilities by incorporating polarization diversity to boost data transmission rates.

Main Methods:

Proposed two DPAm node structures: direct dual-polarization and polarization-conversion based.
Developed detectors for parallel backscatter (differential coding) and simultaneous backscatter (Manchester coding) modes.
Introduced power-average and clustering detectors to mitigate power imbalance issues.

Main Results:

Simulation results demonstrate the feasibility and efficiency of DPAm nodes and detectors.
DPAm nodes achieve higher throughput compared to single-polarization AmBC (SPAm) in most scenarios.
The clustering detector shows robustness against short training sequences and complex environments.

Conclusions:

The proposed DPAm system effectively extends AmBC capabilities through polarization diversity.
The developed detectors provide robust and efficient solutions for DPAm systems.
DPAm technology offers significant improvements in data transmission rates and overall performance for batteryless IoT networks.