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Multi-Filter Decoding in WiFi Backscatter Communication.

Richard Boateng Nti1, Ji-Hoon Yun1

  • 1Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea.

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|March 6, 2021
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Summary

This study introduces a novel multi-filter design to improve WiFi backscatter communication. The new approach effectively decodes weak backscattered signals, enhancing connectivity for the Internet of Things and wireless sensor networks.

Keywords:
IoTWiFi backscatter communicationfrequency-shiftmulti-filter design

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Wireless Communication

Background:

  • WiFi backscatter communication offers ultralow-power connectivity for IoT, wireless sensor networks, and smart energy systems.
  • Decoding weak backscattered signals is challenging due to interference from stronger carrier WiFi signals.

Purpose of the Study:

  • To propose and evaluate a multi-filter design for effective decoding of WiFi backscattered signals.
  • To enhance frame detection and decoding performance in WiFi backscatter communication systems.

Main Methods:

  • Developed two multi-filter designs: summation and delimiter approaches.
  • Utilized filters with varying window sizes to remove noise and interference.
  • Tested the designs with frequency-shift WiFi backscatter communication.

Main Results:

  • The proposed multi-filter designs successfully filter out original WiFi signals without degrading backscattered signals.
  • Enhanced frame detection and decoding performance were observed.
  • Prototyping and testbed experiments validated the improved performance in real-world environments.

Conclusions:

  • The multi-filter design significantly improves the decoding of WiFi backscattered signals.
  • This advancement is crucial for reliable ultralow-power connectivity in various IoT applications.
  • The proposed method is compatible with diverse decoding algorithms and beneficial for frequency-shift backscatter systems.