Micro unmanned aerial vehicle detection method based on frequency domain and time domain feature fusion

Abstract

Provided is a micro unmanned aerial vehicle detection method based on frequency domain and time domain feature fusion. The method comprises the following steps of: collecting audio data of a no-fly zone, extracting a time domain feature and a frequency domain feature, converting the extracted time domain feature and frequency domain feature into the same dimension, then modulating the time domain feature through the frequency domain feature, and finally carrying out classification prediction to judge whether an unmanned aerial vehicle appears. According to the invention, the time domain and frequency domain features (T-FCE) are combined to solve the problem of low detection accuracy of the unmanned aerial vehicle in a real world, so that the detection accuracy of the unmanned aerial vehicle in the real world can be improved, and accurate output of unmanned aerial vehicle detection is ensured.

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