This project examines micro-doppler radar technology to distinguish between bird species and bird-like drones for enhanced airspace security. By analyzing radar data and employing advanced signal processing and machine learning, the study aims to develop a real-time classification system to improve situational awareness regarding these flying objects. The research addresses growing concerns over wildlife safety and public security as drone technology advances.

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DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
MICRO-DOPPLER BASED TARAGET
CLASSIFICATION FOR ENHANCED
AIRSPACE SECURITY
Guide name:
Dr. B Shilpa
Guide name:
J Calvin (215U1A0571)
Mohd Shoeb Taqiuddin (215U1A05C4)
K Vinod Kumar (215U1A0584)
M Shoba Rani (215U1A05C8)

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Abstract:
This project investigates the application of micro-Doppler radar technology to differentiate
between avian species and bird-like drones, addressing both wildlife safety and public
security concerns. As drones increasingly mimic the appearance and flight patterns of birds,
the potential for confusion and unintended consequences in both ecosystems and urban
environments rises.
This study focuses on collecting radar data to analyze the micro-Doppler
signatures of various birds and drones, employing advanced signal processing techniques
to develop a robust classification system. The objective is to enhance situational awareness
by accurately identifying these flying objects in real-time
By applying advanced signal processing and machine learning techniques, we
aim to develop a real-time classification system that accurately identifies whether a
detected object is a bird or a drone.

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Objectives:
• Signal Processing: Analysing micro doppler signatures from radar data to extract
required features.
• Machine Learning: Using Python based models to classify objects based on these
features.

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Literature review
S.No. Year of
publication
Title of the
paper
Methods
used
Parameters
analysed
Limitations

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Problem Statement
• Description of the problem your project addresses
• Importance or significance of solving this problem

6. Review1 6
Proposed Model
• Overview of the methods and techniques used in your project
• Novelty of the algorithms or approaches employed