RF-Based Drone Detection, Direction of Arrival, and Identification Techniques Using MATLAB

Authors

  • Nabaa Dayyeni Ministery of Water Resources, Baghdad, Iraq Author

Abstract

 This paper investigates the RF-based drone detection, direction of arrival (DoA) estimation, and identification process using MATLAB. The growth in the utilization of unmanned aerial vehicles (UAVs) has brought about security issues and, therefore, necessitated the need to detect them reliably. RF solutions have the merits of being passive and working under an array of conditions. MATLAB simulations are used to model the drone identification and classification of the drone using the acquisition of the modeled signals, spectrum sensing, the direction of arrival estimation using the MUSIC algorithm, and classification techniques.

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Author Biography

  • Nabaa Dayyeni, Ministery of Water Resources, Baghdad, Iraq

    Nabaa Dayyeni is a seasoned computer engineer with extensive expertise in information technology and systems management. She holds a Bachelor of Science in Computer Technology Engineering from Middle Technical University, Baghdad, Iraq.

    Currently, she serves as a Senior Engineer in the IT Department at the Ministry of Water Resources, Iraq, where she plays a pivotal role in managing and optimizing digital infrastructure, supporting mission-critical systems, and ensuring the smooth operation of technology services across the ministry.

    Her career reflects a strong foundation in computer engineering principles, combined with practical experience in IT administration, system integration, and technical problem-solving. Nabaa is recognized for her dedication to advancing digital solutions within government institutions and contributing to the modernization of Iraq’s water resource management through technology.

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Published

2026-05-31

Issue

Vol. 1 No. 1 (2026): Founding Edition

Section

Articles