This project explores the use of 5G technology for ground tracking and compares its performance with traditional radar systems such as directional radar and dipole radar. The project includes simulations using MATLAB and Python, demonstrating the mathematical modeling of radar systems and their performance in tracking targets.
Dr. Bhupendra Kumar
Gr20EC431
- Ajitesh Kumar Singh 202151012
- Ashay Maurya 202151032
- Mehul Kumar 202151092
- Nihit Verma 202152324
The goal of this project is to compare the effectiveness of 5G technology in ground tracking applications with directional radar and dipole radar. Through simulation, we model the signal propagation and performance metrics such as signal-to-noise ratio (SNR) for each radar system. The comparison highlights the potential advantages of integrating massive MIMO, beamforming, and low-latency communication in 5G technology for enhanced tracking accuracy and efficiency.
Key Objectives:
- Model and simulate the performance of 5G technology for ground tracking.
- Compare 5G technology with directional radar and dipole radar in terms of SNR and tracking range.
- Use MATLAB and Python for radar system simulations.
- Explore the advantages of massive MIMO and beamforming in 5G systems.
To get started, you can clone the repository and set up your local environment. Ensure you have Python 3.8+ installed and MATLAB.
Prerequisites
- Python 3.8 or higher
- MATLAB
- ESP32
- oLED display
- tinyGS