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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