Research on UAV Signal Recognition Technology Based on GRU Neural Network Model

With the rapid development of the drone market, the drone black flight incident has become the norm. In order to be able to take countermeasures against black flying drones in a more targeted manner and accurately identify the models of black flying drones, the existing identification technology cannot identify the types of unmanned aerial vehicles in real time and accurately. This paper proposes the UAV signal recognition technology based on the GRU neural network model. Taking the rotor UAV as the research object, the GRU neural network model is used to extract the characteristics and model design of the UAV communication signal according to the characteristics of the UAV communication signal., Model practice and training, and analyze the test results of the UAV recognition technology designed in this article. Experimental results show that the technology can identify common UAV models more accurately.