Research On Signal Parameter Estimation For UAV Remote Controller

The rapid development of unmanned aerial vehicle(UAV)technology has brought help and convenience to various industries,but it has also brought serious impacts and threats to civil aviation safety,social security,and even the ecological environment.Therefore,the control and countermeasures of UAVs have become urgent.Since the remote control signals of small UAVs use frequency-hopping communication technology,which has the characteristics of low interception rate,strong anti-interference ability,and high confidentiality,it is very difficult to estimate the parameters of remote control signals of small UAV.However,estimating the parameters of remote control signals of small UAV is an important technical means for controlling and countering UAVs.Therefore,research on signal parameter estimation for UAV Remote controller has important significance and practical value The core content is as follows:1.Explains the principle of frequency-hopping communication,and the parameters that need to be estimated were determined.Common time-frequency analysis methods were studied.Provide a theoretical basis for the subsequent parameter estimation work.2.A method for estimating the signal parameters of drone remote controller in scenarios where the frequencies of the signals do not overlap is proposed.The method transforms the signal into a spectrogram to obtain a time-frequency representation.The frequency spectrum of each time slot in the spectrogram is interpolated to improve the frequency resolution,and then the number of frequency-hopping signals in each time slot is estimated.A threshold adaptive denoising algorithm is combined with the K-means algorithm to suppress noise components and estimate the required parameters.Experimental results show that the proposed method has better performance in estimating signal parameters such as the hopping time,hopping period,center frequency,and total bandwidth.3.In response to the frequency collision of signals from multiple drone remote controllers,a method for estimating the parameters of drone remote control signals in a scenario where the frequency of the signals overlap is proposed by separating multiple co-frequency signals in the spatial domain,inspired by digital beamforming technology.To improve the parameter estimation performance of the proposed method,the GDE-AIC algorithm,which combines akaike information criterion and gerschgorin criterion,and the multiple signal classification algorithm(MUSIC)are used to estimate the number of sources and the direction of arrival angles.Then,the digital beamforming technology is used to enhance the signal in a certain direction of arrival angle,transforming the co-frequency scenario into a single-signal scenario,and estimating the parameters of the signal in that direction.The process is repeated for signals in other directions of arrival to complete the parameter estimation.Simulation results show that the proposed method has good estimation performance for parameters such as the direction of arrival angle,hopping time,hopping period,and bandwidth per hop of signals in the 2.4GHz ～ 2.483 GHz frequency band.