UAV signal recognition method based on re-classification and separation of image transmission signal and flight control signal

AnPing Wang; ZhenBin Lv; ZiXuan Yi; HuaMing Shen; JiaPeng Wang; WenBin Lu

doi:10.1117/12.2652359

2 November 2022 UAV signal recognition method based on re-classification and separation of image transmission signal and flight control signal

AnPing Wang, ZhenBin Lv, ZiXuan Yi, HuaMing Shen, JiaPeng Wang, WenBin Lu

Author Affiliations +

Proceedings Volume 12351, International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022); 123511E (2022) https://doi.org/10.1117/12.2652359
Event: International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022), 2022, Nanjing, China

Abstract

The rapid development of the drone industry brings security risks to low-altitude airspace in important places. In order to effectively defense unmanned aerial vehicles (UAV), it is of great significance to develop a system which can identify drone models by radio signal. To identify similar UAVs, a UAV signal recognition method based on re-classification and separation of image transmission signal (ITS) and flight control signal (FCS) is proposed. The OFDM time domain parameters of ITS are extracted for model pre-classification. Then, after extracting the time-frequency features of ITS and FCS respectively, the UAV can be identified with high precision by SVM. The experimental results show that the average accuracy of the four DJI UAVs can reach more than 95% when the signal-to-noise ratio (SNR) is 0dB.

Citation Download Citation

AnPing Wang, ZhenBin Lv, ZiXuan Yi, HuaMing Shen, JiaPeng Wang, and WenBin Lu "UAV signal recognition method based on re-classification and separation of image transmission signal and flight control signal", Proc. SPIE 12351, International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022), 123511E (2 November 2022); https://doi.org/10.1117/12.2652359

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Unmanned aerial vehicles

Fluorescence correlation spectroscopy

Information technology

Orthogonal frequency division multiplexing

Feature extraction

Signal to noise ratio

Time-frequency analysis

Show All Keywords

Keywords/Phrases

Search In:

Publication Years