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A low-complexity unmanned aerial vehicle modulation mode blind identification and its countermeasure method and system

A modulation mode and low-complexity technology, which is applied in the field of low-complexity unmanned aerial vehicle modulation mode blind recognition and countermeasures, can solve the problems of increasing neural network training parameters, improve interference efficiency, prolong service life, and reduce interference The effect of power

Active Publication Date: 2021-02-02
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a low-complexity unmanned aerial vehicle modulation mode blind recognition and its countermeasure method and system for the defect that image processing technology is often used in the prior art, resulting in an increase in the training parameters of the neural network

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  • A low-complexity unmanned aerial vehicle modulation mode blind identification and its countermeasure method and system
  • A low-complexity unmanned aerial vehicle modulation mode blind identification and its countermeasure method and system
  • A low-complexity unmanned aerial vehicle modulation mode blind identification and its countermeasure method and system

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Embodiment 1

[0036] Please refer to Figure 1-Figure 2 , which is the structural diagram of the UAV modulation mode blind recognition and its countermeasure system, which is represented by figure 1 As known, the system includes a spectrum detection device, a signal receiving device, a low-noise and power amplifier device, a radio frequency transceiver, a modulation mode blind identification device and a countermeasure device. The functions of each of the above devices are:

[0037] a1, the spectrum detection device includes 2 receiving channels for detecting the communication signal between the drone and the remote control device;

[0038] a2. The signal receiving device includes multiple 75MHz-6GHz broadband antennas for receiving the radio frequency signals received by each receiving channel, and via the radio frequency transceiver (ad9361 or ADRV9009 or ADRV9008 can be used for specific implementation) Chip) After completing the frequency conversion, gain control, filtering and analog-...

Embodiment 2

[0052] In order to improve the identification accuracy of the modulation mode and generate the maximum power output under the condition of a given distortion rate, the blind identification of the modulation mode of the UAV and its countermeasure system also include a low-noise and power amplifier device, the low-noise and The power amplifier includes a low noise amplifier and a power amplifier.

[0053] When performing blind identification of modulation methods:

[0054] The signal received by the signal receiving device is first filtered and amplified by the low noise amplifier, and then sent to the radio frequency transceiver;

[0055] When generating counter analog signals:

[0056] After the signal frequency conversion, gain control, filtering and analog-to-digital conversion are completed by the radio frequency transceiver, the generated counter analog signal first passes through the power amplifier to generate the maximum power output under a given distortion rate condi...

Embodiment 3

[0058] Based on embodiment 1 or 2, when the UAV modulation mode blind identification system disclosed in the present invention is used to realize a low-complexity UAV modulation mode blind identification method, the following steps are included:

[0059] S1. Connect the analog communication signal between the UAV and the remote control device through the spectrum detection device and the signal receiving device;

[0060] S2. After the received analog communication signal is filtered and amplified by the low-noise amplifier, it is sent to the radio frequency transceiver to complete frequency conversion, gain control, filtering and analog-to-digital conversion, and complete the conversion from analog signal to digital signal;

[0061] S3. When extracting the blind recognition result based on the digital communication signal, the first processor calls the first execution program stored in the first memory, and during execution, the following substeps are included:

[0062] S31. P...

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Abstract

The invention discloses a low-complexity unmanned aerial vehicle modulation mode blind recognition and its countermeasure method and system, wherein the blind recognition and countermeasure method specifically constructs a one-dimensional IQ data vector, and the one-dimensional After the dimensional IQ data vector is input to the trained deep learning model for prediction, the modulation method used in the communication link layer is identified, and finally based on the identification result, the interference waveform is regenerated and optimized, and the signal of the target UAV is green and safe. Small power smart interference. The above implementation process reduces the amount of data, and can obtain the characteristics of the UAV communication link layer modulation type from the original IQ data with low complexity, and use the constructed neural network model to train and learn the characteristics, that is, to blindly identify the UAV. The modulation method used in the man-machine communication link; moreover, the network model is designed from the original two-dimensional CNN network to a one-dimensional CNN network, which reduces the complexity of the network and improves the recognition efficiency while reducing the complexity of implementation.

Description

technical field [0001] The invention belongs to the technical field of UAV countermeasures, and in particular relates to a low-complexity UAV modulation mode blind identification and countermeasure method and system thereof. Background technique [0002] In recent years, the UAV industry has continued to grow rapidly. From 2014 to 2018, the global rotor UAV market has grown by about 20% per year. On major e-commerce platforms and shopping malls, people spend at least 2,000 yuan. You can buy a drone that is ready to fly and has aerial photography and other functions. However, when the entry threshold for drones continues to decrease, the "black flight" incidents of drones are on the rise. When drones enter airport airspace, public venues and sensitive areas without permission, there will be risks of endangering public safety and national security. [0003] At present, the low efficiency of high-power electromagnetic suppression interference and serious secondary disasters i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F41H11/02G06N3/04
CPCF41H11/02G06N3/045
Inventor 白迪崔勇强
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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