DRONE DETECTION USING MMWAVE RADAR

Overview

Drones are a cutting-edge technology with numerous advantages, but as with any technology, they also have their downsides. One of the most significant challenges associated with drones is their potential for misuse, particularly when they are used to gain unauthorized access to restricted areas. To address this problem, it is critical to be able to detect drones effectively.

Fortunately, we now have access to advanced tools and techniques that can be used to identify and track drones. One such approach involves the use of mmWave technology and machine learning algorithms, which work in tandem to provide an intelligent and efficient means of drone detection. By leveraging mmWave technology, we are able to achieve unprecedented levels of accuracy and range in our detection capabilities, opening up new opportunities in the field of drone detection.

Current team Members:

Divyansh Patel
Arjun Karimalammanavar Srimanikanta
PIs: Prof Eric Dieckman, Dr. Vahid Behzadan

Affiliate Organizations:

N/A

Tools and Datasets:

Tools used in this research project at present are Matlab, Python, Machine learning, C++ and mmWave radar.

Publications:

N/A – In the future

CYBERSECURITY