A wireless signal detection method and device

Abstract

The embodiment of the invention provides a wireless signal detection method and a device, which relate to the technical field of cognitive radio, wherein, the method comprises the following steps of:acquiring a wireless signal to be detected; obtaining a target frequency band of spectrum features to be extracted, and obtaining a kind of spectrum features to be extracted on each target frequency band as a characteristic kind of each target frequency band, wherein, a feature selection algorithm based on feature sorting is adopted to process samples to determine the target frequency band and thecharacteristic kind of the target frequency band; for each target frequency band, extracting spectral characteristics of the radio signal to be detected belonging to the characteristic category of the target frequency band on the target frequency band; detecting whether the signal to be detected belongs to a target type according to the extracted spectrum characteristics. By applying the embodiment of the invention, the wireless signal of the target type can be identified with higher accuracy than that of the prior art in an application scenario in which an interference wireless signal exists.

Description

technical field [0001] The present invention relates to the field of cognitive radio technology, in particular to a wireless signal detection method and device. Background technique [0002] With the development of the UAV industry, its application has become more and more extensive, and UAV signal detection has received more and more attention. Only by doing a good job in UAV signal detection can we better carry out follow-up work such as repatriation and interception of UAVs. [0003] Traditional wireless signal detection methods include waveform detection and energy detection. In the prior art, the following energy detection method is generally used to detect UAV signals: use a window function that can cover at least 3 frequency points, and shift from low frequency to high frequency on the power spectrum of the wireless signal to be detected. Frequency point, calculate the signal gradient corresponding to the frequency point covered by the window function once, if the p...

AI Technical Summary

Problems solved by technology

[0006] The third case: when the window leaves the change area, the signal gradient changes from large to small

The existence of interference signals affects the detection accuracy of this method, making the accuracy of detection results low

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