Estimation methods of frequency hopping parameters of small scale UAV remote controllers

DOI:	10.11809/bqzbgcxb2023.04.033
Keywords:	frequency hopping (FH) signal; small scale unmanned aerial vehicle (UAV); parameter estimation; frequency domain cross correlation; logical regression
Abstract:	The working bandwidth of the signals of a remote controller for a small scale unmanned aerial vehicle (UAV) is about 80 MHz. The premise of the traditional UAV remote control signal parameter estimation method to effectively estimate the parameters lies in the acquisition of the complete frequency band signals, which increases the difficulty of parameter estimation and enhances the requirements of the signal acquisition equipment. In this view, based on frequency domain cross correlation operation to obtain frequency domain cross correlation characteristics of sampled signals between adjacent time intervals, this paper proposes a parameter estimation method for the signals of a UAV remote controller by introducing logical regression and the threshold self adaption denoising algorithm. This proposed method not only eliminates the fixed threshold to improve the performance of parameter estimation, but also estimates the frequency hopping parameters of the discontinuous time domain signals of the UAV remote controller collected in scenarios with limited sampling frequency. Based on the simulation and the measured data, performance of the frequency hopping signal parameters of the two traditional estimation methods is compared with that of the proposed method. The simulation and experimental results show that the parameter estimation accuracy of the proposed method outperforms that of its traditional counterparts, whether the signals of the UAV remote controller are completely collected or not. In addition, when the signal to noise ratio (SNR) is over -3 dB, the performance of the parameter estimation of the proposed method reaches the saturation performance.
Issue:	Vol. 44 No. 4 (2023)
Published:	2023-04-28
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