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Unmanned aerial vehicle signal recognition and detection algorithm based on Hash fingerprint

A detection algorithm and signal recognition technology, which is applied in the field of communication, can solve the problems of unrecognized drone signals, etc., and achieve the effect of improving the signal recognition rate of drones, improving the correct rate, and reducing misjudgment

Active Publication Date: 2017-02-22
XIAMEN UNIV
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AI Technical Summary

Problems solved by technology

However, there is no difference between the RF signal waveform characteristic information of the UAV physical layer preamble to identify the UAV signal.

Method used

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  • Unmanned aerial vehicle signal recognition and detection algorithm based on Hash fingerprint
  • Unmanned aerial vehicle signal recognition and detection algorithm based on Hash fingerprint
  • Unmanned aerial vehicle signal recognition and detection algorithm based on Hash fingerprint

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Embodiment

[0034] The wireless signal of the UAV is in the 2.4G frequency band, and this frequency band also includes two wireless signals of IEEE 802.11b and IEEE802.11n. We classify and identify the wireless signals of UAVs by using the difference in the characteristic information of the preamble waveforms of these three signals.

[0035] figure 1 It is the general flowchart of the Hash fingerprint UAV signal recognition and detection algorithm. The wireless signal detection algorithm based on the Hash fingerprint of the present invention can effectively identify and detect the wireless signal through the different identification and detection of the Hash fingerprint of the wireless signal physical layer preamble radio frequency signal envelope. Different wireless signals are sent out to achieve the purpose of identifying UAV signals.

[0036] The UAV signal recognition and detection algorithm based on Hash fingerprint mainly includes the following three steps:

[0037] S1. First, u...

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Abstract

The invention discloses an unmanned aerial vehicle signal recognition and detection algorithm based on a Hash fingerprint. The method comprises the following steps: S1, acquiring a radio-frequency signal of a wireless signal (including an unmanned aerial vehicle) physical layer lead code, detecting a starting point, and extracting an envelope of a wireless signal lead code radio-frequency signal; S2, acquiring lead code feature waveform information of a wireless signal by adopting an improved peak detection algorithm, wherein the lead code feature waveform information comprises an envelope peak amplitude and position information; and S3, constructing a Hash fingerprint of an unmanned aerial vehicle signal according to the lead code feature waveform information, and performing fingerprint recognition. Through adoption of the algorithm, the feature waveform information of the wireless signal can be extracted according to different feature waveforms of the wireless signal lead code radio-frequency signal, and Hash fingerprint recognition is performed, so that a high unmanned aerial vehicle signal recognition rate is achieved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to the preamble-related modulation and demodulation methods of IEEE 802.11b and IEEE 802.11n wireless communication protocols, and in particular to the UAV signal identification and detection algorithm based on Hash fingerprints. Background technique [0002] With the development of science and technology, UAVs are no longer only used in the military, and the civilian market has further expanded. According to relevant research reports, it is estimated that the market size will reach 11.09 billion yuan in 2018. However, drones may cause risks such as the leakage of state secrets and military secrets, and may also endanger public safety, and there are problems such as infringement of privacy rights. [0003] Existing drone discovery technologies include signal feature recognition based on the data link layer of WiFi signals; development technology based on joint multi-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L5/00H04L9/32
Inventor 赵彩丹陈彩云黄联芬
Owner XIAMEN UNIV
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