Dual-Polarization Ambient Backscatter Communications and Signal Detection

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.