Signal identification device based on multi-model unmanned aerial vehicle remote controller

Abstract

The invention relates to the technical field of unmanned aerial vehicle remote controller signal identification, in particular to a multi-model unmanned aerial vehicle remote controller-based signal identification device, which comprises a processor, a database, a feature analysis module, a signal processing module, a signal acquisition module and a signal receiving module, the processor is electrically connected with the database, the feature analysis module, the signal processing module, the signal acquisition module and the signal receiving module, the processor is a unique control center of the signal identification device, the database is electrically connected with the feature analysis module, the database is used for storing feature data, the feature data are sent to the feature analysis module as comparison data, and the feature analysis module is used for comparing and analyzing the data generated by the signal processing module. According to the invention, the signal identification efficiency of the unmanned aerial vehicle remote controller in the prior art is effectively improved, and the signal identification efficiency is also improved.

Description

technical field [0001] The invention relates to the technical field of UAV remote control signal recognition technology, in particular to a multi-type UAV remote control signal recognition device. Background technique [0002] UAV (Unmanned Aerial Vehicles, UAV) originated in the military field. In the late 1990s, due to breakthroughs in the miniaturization and low-altitude technology of UAVs, the UAV market grew rapidly and was widely used in Agriculture, photography and other fields. As the global anti-terrorism situation becomes more and more serious, the number of illegally possessed drones has soared, which has brought a huge security threat to key targets, key areas and key activities. Once terrorists use drones to conduct The consequences of a terrorist attack would be disastrous. Due to its slow flying speed, low flying altitude, and small radar scattering area, some UAVs even use stealth coatings, which make it difficult to be detected by radar, and are very diffi...

AI Technical Summary

Problems solved by technology

Due to its slow flying speed, low flying altitude, and small radar scattering area, some UAVs even use stealth coatings, which make it difficult to be detected by radar, and are very difficult to detect with traditional detection methods. UAV detection system is imperative

[0003] Existing drones are controlled by remote controllers, so when the remote controller of the drone controls the drone, signal transmission will inevitably occur. By receiving the control signal from the remote controller of the drone, the remote control is confirmed through the signal. However, the current signal identification device needs to receive the signal first, and then analyze the spectrum, which takes a long time and has poor efficiency; at the same time, the signal spectrum received is too much, and there are clutter and invalid bands in the spectrum, which will seriously Affects the accuracy of UAV remote control signal recognition; and the existing UAV recognition device does not store the recognized signal, resulting in the need to slowly compare the next recognition, which seriously affects the recognition efficiency

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