DeWOZ: Rethinking the Schmidl-Cox Algorithm for Detecting Wi-Fi Out of ZigBee Interference

Chenglong Shao, Hoorin Park, Wonjun Lee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This letter presents DeWOZ, a clean-slate technique to discern Wi-Fi packets drowning in ZigBee interference. Unlike existing solutions that are restricted to the cases where Wi-Fi signal strength is much higher than ZigBee, Wi-Fi signals only interfere with ZigBee payload, or beforehand clear Wi-Fi transmissions are done to obtain transmitter-specific information, DeWOZ aims at achieving the detection of relatively weak Wi-Fi signal hidden in both ZigBee header and payload portions only based on a single corrupted signal. DeWOZ re-explores the Wi-Fi-oriented Schmidl-Cox algorithm for corrupted signal synchronization followed by two key operations, autocorrelation anomaly detection and adaptive discrete Fourier transform, to sniff Wi-Fi out of ZigBee header and payload, respectively. The feasibility of DeWOZ is validated via practical experiment.

Original languageEnglish
JournalIEEE Wireless Communications Letters
Publication statusAccepted/In press - 2018 Sep 13


  • Correlation
  • Discrete Fourier transforms
  • Indexes
  • Interference
  • interference
  • Payloads
  • Schmidl-Cox.
  • Wi-Fi
  • Wireless fidelity
  • ZigBee
  • ZigBee

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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