Unmanned aerial vehicle measurement and control signal intelligent identification method under strong mutual interference condition

Abstract

The invention discloses an intelligent identification method for measurement and control signals of an unmanned aerial vehicle under a strong mutual interference condition, and the method comprises the steps: carrying out the detection and receiving of a space electromagnetic wave signal through a radio electronic signal reconnaissance device, sequentially carrying out the low-noise power amplification, filtering, A / D conversion and digital down conversion of the received signal, and finally converting the received signal into zero-intermediate-frequency time domain IQ data; the method comprises the following steps of: acquiring and storing a received signal by using a signal detection and identification processor, performing time-frequency transformation on the received signal to obtain a time-frequency map of the received signal, performing absolute value obtaining and normalization preprocessing operation on the time-frequency map, and performing deep learning-based target detection on the preprocessed time-frequency map; the signal detection and recognition processor comprises a target detection model based on deep learning. According to the method, the pruning thought of the pruning deep learning model is adopted, the precision is kept basically unchanged, the model calculation complexity is reduced, the model recognition speed is increased, the consumption of calculation resources is effectively reduced, and multi-platform transplantation of the model is more convenient.

Description

technical field [0001] The invention belongs to the technical field of electronic information technology, and in particular relates to an intelligent identification method for unmanned aerial vehicle measurement and control signals under the condition of strong mutual interference. Background technique [0002] At present, benefiting from the development of flight control and wireless communication technology, the UAV market is growing at an unprecedented rate, and is widely used in aerial photography, rescue, power inspection, smart agriculture, cargo transportation and other fields. However, due to the imperfection of relevant regulatory technologies, unmanned aerial vehicles illegally enter sensitive areas, disrupting civil aviation order and other incidents occur from time to time. Therefore, how to effectively supervise drones is an important prerequisite for ensuring the sound development of the industry. The premise of effective supervision of UAVs is to detect and i...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of using UAV measurement and control signals to detect and identify UAVs in a complex electromagnetic environment, the invention discloses an intelligent identification technology for UAV measurement and control signals under strong mutual interference conditions. Time-frequency transformation, based on deep learning target detection and other methods, to realize the recognition and detection of target signals

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