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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52257

Detection and Surveillance of UAVs Based on RF and Radar Technology

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52257

Volume:

9 |

9 |

Sep 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM52257

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

YMR

Yogini M Raut1

MSR

Mayur S. Raut2

M.

Mohini .S.Navale3

SN

Sharad.V. Navale4

YV

Yogendra. V.Deore5

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Abstract

Unmanned Ariel Vehicles (UAVs) popular among them are drones. Drones are used widely in many areas such as imaging, payload delivery, and recently amidst COVID-19 pandemic, for contactless delivery of medicines. Every technology has its pros and cons, while drones are being used for many useful purposes; they also pose a threat to personal privacy and national security. Therefore, it is of a great significance to deploy anti-drone system in a security sensitive area. So, we have developed a system using RF and Radar technology which aims in detecting the entry of an unauthorized UAV into the restricted area. The system has been designed in such a way that there are multiple checks to detect the presence of a drone. The drone detection unit makes use of a Radar sensor, RF Analyzer and an optical camera. Positive response is mandatory from all the three sensors in order to confirm that an unauthorized UAV has entered the restricted area.

KEYWORDS

optics photonics light lasers templates journals

Cite This Article

Yogini M Raut1, Mayur S. Raut2, Mohini .S.Navale3, Sharad.V. Navale4, Yogendra. V.Deore5, "Detection and Surveillance of UAVs Based on RF and Radar Technology," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 9, Sep 2025. https://doi.org/10.55041/IJSREM52257

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Publication Date

3/8/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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