Modeling of Signal Responses from UAVS Using Doppler Radar and their Spectral Analysis
DOI:
https://doi.org/10.52575/2687-0932-2025-52-2-413-420Keywords:
micro-Doppler signal, radar, spectral analysis, FFT, STFT, Hilbert-Huang, cepstrum, wavelet, Wigner-VilleAbstract
The article provides a detailed mathematical description of algorithms for modeling Microdopler signal responses that occur during the movement of unmanned aerial vehicles, as well as methods for their spectral analysis implemented in the MATLAB environment. The basics of radar signal generation using frequency manipulation, which makes it possible to effectively isolate Microdopler components, are considered. Special attention is paid to modern spectral processing methods, including the fast Fourier transform, the quadratically weighted Fourier transform, the Hilbert-Huang transform, cepstral analysis, the wavelet transform, and the Wigner-Ville distribution. A comparative analysis of these methods is carried out, their key advantages and disadvantages are highlighted in relation to the processing of Microdopler signatures of unmanned aerial vehicles. The results of the study can be used to improve the accuracy of identification and classification of moving objects in radar systems.
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