🚀 FMCW-Radar-ML-Classification - Easy Radar Simulation with Machine Learning

📋 Description

FMCW-Radar-ML-Classification is designed for anyone interested in radar simulation and machine learning. This software simulates FMCW radar technology and classifies objects such as humans, cars, and drones using Doppler signatures. Created by Brian Rono, this tool makes complex RF projects accessible to everyday users.

🚀 Getting Started

To start using FMCW-Radar-ML-Classification, follow these easy steps:

1. Visit the Releases Page
   Head over to our releases page to download the latest version of the software. You can find it here: Download FMCW-Radar-ML-Classification.

2. Download the Software
   Look for the latest release on the page. Click on the file link to download the application. Make sure to save it in a place you can easily find, like your Desktop or Downloads folder.

3. Install the Application
   After downloading, locate the file and double-click on it. Follow the installation instructions on your screen. The setup process is simple and should take just a few minutes.

4. Run the Application
   Once installed, find the application in your programs list or on your Desktop. Double-click to open it.

🛠️ System Requirements

Before downloading, ensure your system meets these requirements:

• Operating System: Windows 10 or later, or any recent version of macOS.
• RAM: At least 4 GB.
• Storage: 500 MB of free space for installation.
• Software Dependencies: MATLAB (R2020a or later) installed on your system.

📥 Download & Install

To download FMCW-Radar-ML-Classification, visit our Releases Page. Click on the most recent version and download the required file. Follow the installation steps mentioned above.

🛠️ Using the Application

FMCW-Radar-ML-Classification comes with a user-friendly interface. Here’s how to use it:

1. Open the Application
   Launch FMCW-Radar-ML-Classification as described earlier.

2. Select Parameters
   You will see a dashboard where you can set certain parameters related to your radar simulation. Configure the settings based on what you want to simulate—human, car, or drone recognition.

3. Run Simulations
   After configuring, click on the “Run Simulation” button. The software will use machine learning algorithms to classify the target based on the Doppler signatures you selected.

4. View Results
   Once the simulation is complete, results will appear on your screen. These will show how accurately the software has classified the target.

🌐 Topics & Features

FMCW-Radar-ML-Classification covers a range of topics in radar and machine learning, including:

• Automotive Radar
• Autonomous Vehicles
• Classification
• Doppler Effect
• Signal Processing
• Machine Learning Algorithms (SVM, etc.)

These features make it an essential tool for researchers, enthusiasts, and students interested in the intersection of radar technology and machine learning.

🐞 Troubleshooting

If you encounter any issues while installing or running the application, consider these tips:

• Check System Requirements: Ensure your computer meets the specified requirements.
• Restart Application: Sometimes, simply restarting the application helps.
• Reinstall the Software: If errors persist, try uninstalling and then reinstalling the application.

For more help, you can visit the Issues section on our GitHub repository or contact support.

📞 Support

For questions or support inquiries, you can reach out through the Issues tab on our GitHub page. We encourage users to report any bugs or share their experience with the application.

💻 Contributing

We welcome contributions! If you'd like to help improve FMCW-Radar-ML-Classification, feel free to fork the repository and submit a pull request.

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.

🌟 Acknowledgments

Thanks for exploring FMCW-Radar-ML-Classification. We appreciate your interest in radar technology and machine learning!