A sophisticated radar-based object classification system that distinguishes between UAVs (drones), birds, RC aircraft, and mixed scenarios using advanced signal processing techniques and deep learning.

Features

Advanced Signal Processing: Implementation of Successive Variational Mode Decomposition (SVMD) for superior signal analysis

Cross-term-free Spectrograms: Enhanced time-frequency representations for better classification accuracy

Transfer Learning: Utilizes pre-trained SqueezeNet for efficient feature extraction

Multi-class Classification: Distinguishes between drones, birds, RC planes, and mixed scenarios

Automated Pipeline: End-to-end processing from raw radar data to classification result

Methodology

Signal Processing Pipeline

Preprocessing: Downsampling, resampling, and low-pass filtering

SVMD Decomposition: Successive decomposition into Intrinsic Mode Functions (IMFs)

Spectrogram Generation: Cross-term-free STFT computation

Feature Extraction: Deep CNN features using SqueezeNet

Classification: Multi-class object identification

Key Algorithms

SVMD (Successive Variational Mode Decomposition): Advanced signal decomposition technique

VMD (Variational Mode Decomposition): Standard mode decomposition for comparison

Transfer Learning: Pre-trained CNN feature extraction

Prerequisites

MATLAB R2020b or later (using 2023b)

Signal Processing Toolbox

Deep Learning Toolbox

Image Processing Toolbox

Installation

git clone https://github.com/diptiman-mohanta/Radar-Based-UAV-Classification.git
cd Radar-Based-UAV-Classification

Citation

If you use this work in your research, please cite:

@misc{radar_uav_classification,
  title={Radar-Based UAV Classification using SVMD, Spectogram and Deep Learning},
  author={Diptiman Mohanta and Akash S R and Shekh Sharfraj and Krishna Jyoti Panda and Arpita Pradhan and Jyotirmayee Patnaik},
  year={2025},
  url={https://github.com/diptiman-mohanta/Radar-Based-UAV-Classification.git}
}

Dataset

@data{1x2q-8v62-22,
doi = {10.21227/1x2q-8v62},
url = {https://dx.doi.org/10.21227/1x2q-8v62},
author = {Harish Chandra Kumawat and Mainak Chakraborty and A. Arockia Bazil Raj and Sunita Vikrant Dhavale},
publisher = {IEEE Dataport},
title = {DIAT-µSAT: micro-Doppler Signature Dataset of Small Unmanned Aerial Vehicle (SUAV)},
year = {2022} }