The applications of the unmanned aerial vehicles (UAVs) increase rapidly in everyday life, thus detecting the UAVs and/or its pilot is a crucial task. Many UAVs adopt frequency hopping spread spectrum (FHSS) technology to efficiently and securely communicate with their radio controllers (RCs) where the signal follows a hopping pattern to prevent harmful interference. In order to realistically distinguish the frequency hopping (FH) RC signals, one should consider the real–world radio propagation environment since many UAVs communicate with RCs from a far distance in which signal faces both slow and fast fading phenomenons. Therefore, in this study different from the literature, we consider a system that works under real– conditions by capturing over–the–air signals at hilly terrain suburban environments in the presence of foliages. We adopt the short–time Fourier transform (STFT) approach to capture the hopping sequence of each signal. Furthermore, time guards associated with each hopping sequence are calculated using the autocorrelation function (ACF) of the STFT which results in differentiating the each UAV RC signal accurately. In order to validate the performance of the proposed method, the results of normalized mean square error (MSE) respect to different signal–to–noise ratio (SNR), window size and Tx–Rx separation values are given.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Measurement based FHSS–type Drone Controller Detection at 2.4GHz: An STFT Approach


    Contributors:


    Publication date :

    2020-05-01


    Size :

    254913 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    STFT-Based Event Detection and Classification for a DC Pulsed Load

    Maqsood, Atif / Rossi, Nick / Ma, Yue et al. | IEEE | 2019


    DRONE CONTROLLER

    HONG YOO JUNG | European Patent Office | 2017

    Free access

    DRONE CONTROLLER

    HONG YOOJUNG | European Patent Office | 2017

    Free access

    A Variable Speed Fault Detection Approach for Electric Motors in EV Applications based on STFT and RegNet

    Mohammad-Alikhani, Arta / Pradhan, Subarni / Dhale, Sumedh et al. | IEEE | 2023


    DRONE CONTROLLER

    HONG YOO JUNG | European Patent Office | 2021

    Free access