Research On Signal Detection And Location Technology Of UAV Based On Software Defined Radio

Unmanned aerial vehicle(UAV)originated from the military field,and then quickly gained favor in the civil field because of its miniaturization characteristics.In recent years with the popularity of civilian UAVs,unmanned aerial vehicles accompanied by the threat of "black fly" issue to people's lives and property has become even more serious,control UAV research is imperative.Most of the drones adopt the frequency hopping communication system.The frequency hopping communication has the advantages of strong anti-interference ability,strong anti-interception ability and strong anti-drop ability,and has been widely used in military and civilian communication fields,applying related technologies of frequency hopping communication to the field of small unmanned aerial vehicles has become a research hotspot.Therefore,the research on the detection,identification,analysis and suppression technology of UAV signals has important significance and impetus to the field of UAV counter-production.The specific work arrangement of this thesis is as follows:(1)The frequency hopping communication system and the model of frequency hopping signal are mainly studied,which provides a theoretical basis for subsequent detection,analysis and suppression research.(2)The detection algorithm of the UAV frequency hopping signal is mainly studied,and the advantages,disadvantages and implement ability of the matched filter detection,energy detection and static cycle feature detection methods are compared.According to the energy detection algorithm and the software defined radio technology,the UAV remote control signal detection program is designed to dynamically detect the UAV uplink remote control link signal,and the UAV remote control signal is blindly detected in the indoor environment.(3)The method of estimating and identifying the characteristic parameters of small unmanned aerial vehicles is studied.The simulation based on short time Fourier transform(STFT),Gabor transform,Wigner-Ville distribution(WVD),pseudo Wigner-Ville distribution(PWVD)The smooth pseudo-Wigner-Ville distribution(SPWVD)and spectral method are used to estimate the performance of the frequency hopping signal parameters,and combined with the advantages and disadvantages of each algorithm for estimating the frequency hopping signal parameters are compared,it provides a theoretical basis for the subsequent estimation of characteristic parameters of frequency hopping signals.(4)It mainly studies the suppression technology and method of UAV remote control link signal and GPS navigation positioning signal.The theoretical analysis results in the power value of the signal required for the suppression effect based on broadband noise interference,and is dynamically captured by the spectrum analyzer.Take remote control signal of the remote control of the drone,give the parameters such as the working frequency band,and combine the above analysis results to design the actual object of the UAV interference suppression equipment,and verify the suppression effect of the designed equipment through the real scene test,which achieved the purpose of controlling the "Black Flying" drone.