Project Summary

The development of small size and low-cost drones has resulted in an ever-larger number of such devices being currently used in several types of different applications. In this context, serious questions can be asked regarding the safety issues that the use of such devices can raise. Several situations of major security problems that were caused by such devices were reported. In order to combat this kind of security problems, defense systems have to be developed in order to identify, localize and take control over a drone that enters a restricted or no-fly area.

The main scope of the DronEnd project is to develop an affordable and effective drone defense system based on software defined radio (SDR) that will be able to detect, survey, localize and take control over multiple drones.

The developed drone defense system will consist of a GROUND platform, implemented using host-based high-performance SDR platforms, and an agile FLYING platform, implemented using standalone battery supplied SDR platforms.

Improved spectrum sensing algorithms, that were previously proposed by members of the present proposal research team and have better performance than other spectrum sensing algorithms from the literature, will be used for detecting the RF signals transmitted by the drone.

Angle of arrival (AoA) algorithms will be implemented on the SDR platforms in order to identify the direction of different drones. By means of RF jamming applied simultaneously to both the control and the GPS signals, the drone defense system will be able to interrupt the operating capacity of the drone and will take control over it by forcing the drone to enter in a fixed mode, planar mode or emergency landing.

In order to minimize the generated interference and to maximize the range of the proposed system, directional antennas, oriented towards the target drones by using the information obtained from the AoA algorithms, will be used for performing the jamming functions

Research Team

Asoc. Prof. Alexandru Martian, PhD

ResearchGate  –  GoogleScholar

Prof. Ion Marghescu, PhD

ReseachGate GoogleScholar

Prof. Octavian Fratu, PhD


Prof. Calin Vladeanu, PhD


Lecturer Razvan Craciunescu, PhD


PhD Candidate Florin Chiper


Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution

F. -L. Chiper, A. Martian,  C. Vladeanu, I. Marghescu, R. Craciunescu and O. Fratu

Spectrum Sensing with Energy Detection in Multiple Alternating Time Slots

C. Vladeanu, A. Martian and D. C. Popescu

RF Based UAV Detection and Defense Systems: Survey and a Novel Solution  – 2021 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2021, pp. 1-4, doi: 10.1109/BlackSeaCom52164.2021.9527871.

A. Martian, F. -L. Chiper, R. Craciunescu, C. Vladeanu, O. Fratu and I. Marghescu

A Modified Double-Threshold Spectrum Sensing Algorithm Based on Adaptive-Threshold Mean Energy Detection  – 2021 International Symposium on Signals, Circuits and Systems (ISSCS), 2021, pp. 1-4, doi: 10.1109/ISSCS52333.2021.9497419.

C. Vlădeanu, O. M. K. Al-Dulaimi and A. Marţian

Novel Software Defined Radio Testbed for Spectrum Occupancy Measurements – 2020 International Symposium on Electronics and Telecommunications (ISETC), 2020, pp. 1-4, doi: 10.1109/ISETC50328.2020.9301075.

A. Martian, C. Vladeanu and I. Marghescu,


Implementation and testing of the terrestrial Dronend system

Implementation and testing of the aerial Dronend system

Implementation and testing of the terrestrial Dronend system

Implementation and testing of the aerial Dronend system