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Method for identifying illegal drone based on remote control and picture transmission signal

An identification method and UAV technology, applied in the field of UAV identification, can solve problems such as poor anti-interference ability, illegal UAV monitoring, and complex detection methods of high-speed frequency hopping signals

Active Publication Date: 2018-11-06
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

Most of the existing high-speed frequency hopping signal detection methods are too complicated and have poor anti-interference ability, so it is difficult to monitor illegal drones in real time in engineering practice

Method used

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  • Method for identifying illegal drone based on remote control and picture transmission signal
  • Method for identifying illegal drone based on remote control and picture transmission signal
  • Method for identifying illegal drone based on remote control and picture transmission signal

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Embodiment Construction

[0051] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0052] The hardware environment used for implementation is: Core-i5-4210M 2.60GHz dual-core computer, 4GB memory, 940M graphics card, and the running software environment is: Visual Studio 2017, Matlab 2016b and windows 10. Adopt C++, Matlab programming language to realize the new algorithm that the present invention proposes. Matlab simulation uses the high-speed frequency-hopping remote control signal spectrum of the DJI Phantom III UAV recorded for more than ten seconds with the Eagle SG-M506 antenna and the receiver at a center frequency of 5.775 GHz and a scanning spectrum bandwidth of 100 MHz. In the graph, the spectral resolution bandwidth is 25 kHz, and a frame of the spectrogram has a total of 2381 spectral points (that is, Fs=2381). Visual Studio 2017 directly used the measured spectrum diagrams from the same antenna, receivers at multiple center frequ...

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Abstract

The invention relates to a method for identifying an illegal drone based on remote control and a picture transmission signal, comprising: firstly learning a binary background spectrum template from the spectrum diagram to identify a WIFI and a picture transmission signal, constructing a template matrix, masking the frequency point thereon, and constructing a binarized frequency hopping detection matrix from the spectrogram so as to obtain the effective number of frames and the number of frequency hoppings, determining whether there is a drone remote control signal at a certain moment by comparing, if there is a drone remote control signal, extracting the model characteristic parameters thereof and matching through the unmanned aircraft model characteristic parameter database to identify the model of the illegal drone. The method provided by the invention abstracts the spectrogram into a plurality of binarization matrices, which greatly reduces the calculation amount, and is capable ofeffectively eliminating the interference of the WIFI or the spurious signal on the remote control signal detection of the drone, thereby accurately identifying the illegal drone and the model thereof,and gaining good real-time capability, anti-interference performance and accuracy.

Description

technical field [0001] The invention relates to a UAV identification method, that is, an illegal UAV identification method based on remote control and image transmission signals. The UAV high-speed frequency hopping and fixed frequency remote control signal detection, map transmission signal detection are applied to the field of illegal UAV identification, and the invention results can be applied to various military or civilian radio spectrum monitoring systems and anti-UAV systems. Background technique [0002] With the rapid development and popularization of UAVs, cases of UAV "black flying" incidents and illegal intrusions have begun to surge, and anti-UAV systems have gradually entered people's field of vision. Especially in airports, nuclear power plants, border checkpoints, scientific research institutes and other places, there is an extremely urgent need for anti-drone systems. The most difficult and critical part of the anti-drone system is the identification and mo...

Claims

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Application Information

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IPC IPC(8): H04B17/382H04B1/713H04B15/00
CPCH04B1/713H04B15/00H04B17/382
Inventor 李彬徐怡杭张若南周洲蒋毅翟道森
Owner NORTHWESTERN POLYTECHNICAL UNIV
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