TY - GEN
T1 - UAV Remote Control Signal Analysis Based on GNU Radio and USRP X310
AU - Tian, Yong
AU - Wang, Zulin
AU - Huang, Qin
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/20
Y1 - 2018/9/20
N2 - In recent years, unmanned aerial vehicle has shown significant increase as a typical representative of the 'slow and small' aircraft, which is becoming a threat to sensitive areas' defense, public safety and privacy, etc. Hence, the management of UAVs has become an urgent issue. Except for suppression, there is no effective interference mode in our country at present. This paper attempts to study the remote control signal of UAV from signal collection and analysis. Firstly, remote control signals for the typical civilian small UAV are received and analyzed based on the GNU Radio and USRP X310. Afterwards, in order to get the related parameters such as bandwidth, period and frequency hopping sequence, the signal is analyzed in both time and frequency domain using MATLAB. Next, the modulation of the unknown remote control signal is identified by using wavelet transform algorithm. Finally, the command signal is parsed out. This paper provides both theoretical basis for the interference signal or the control signal and new ideas for UAV's smart jamming, which is of great practical significance.
AB - In recent years, unmanned aerial vehicle has shown significant increase as a typical representative of the 'slow and small' aircraft, which is becoming a threat to sensitive areas' defense, public safety and privacy, etc. Hence, the management of UAVs has become an urgent issue. Except for suppression, there is no effective interference mode in our country at present. This paper attempts to study the remote control signal of UAV from signal collection and analysis. Firstly, remote control signals for the typical civilian small UAV are received and analyzed based on the GNU Radio and USRP X310. Afterwards, in order to get the related parameters such as bandwidth, period and frequency hopping sequence, the signal is analyzed in both time and frequency domain using MATLAB. Next, the modulation of the unknown remote control signal is identified by using wavelet transform algorithm. Finally, the command signal is parsed out. This paper provides both theoretical basis for the interference signal or the control signal and new ideas for UAV's smart jamming, which is of great practical significance.
KW - UAV remote control signal
KW - signal analysis
KW - software radio platform
UR - https://www.scopus.com/pages/publications/85055714723
U2 - 10.1109/IMCEC.2018.8469271
DO - 10.1109/IMCEC.2018.8469271
M3 - 会议稿件
AN - SCOPUS:85055714723
T3 - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
SP - 2502
EP - 2506
BT - Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018
Y2 - 25 May 2018 through 27 May 2018
ER -