Unmanned aerial vehicle target intelligent identification method based on radar intermediate frequency signal and motion trail

Abstract

The invention discloses an unmanned aerial vehicle target intelligent identification method based on radar intermediate frequency signals and motion trails, and belongs to the technical field of unmanned aerial vehicle target identification. The recognition method specifically comprises the following steps that firstly, an intelligent recognition system is constructed, the intelligent recognition system comprises a radar detection unit, the radar detection unit is connected with a radar receiver, the output end of the radar receiver is connected to an AD conversion unit, and the output end of the AD conversion unit is connected with a signal processing unit and radar intelligent processing equipment; the radar intelligent processing device is an intelligent processing device of a GPU; the radar intelligent processing equipment takes the intermediate frequency signal and track information output by the AD conversion unit as input, runs a deep neural network algorithm model, and finally outputs category information of a target to realize target recognition; according to the unmanned aerial vehicle target intelligent identification method based on the radar intermediate frequency signal and the motion trail, the unmanned aerial vehicle target can be quickly confirmed, and information guidance is provided for subsequent quick disposal.

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