Signal Analysis Visualization

Overview

Signal Analysis Visualization is a Flask-based web application for processing and visualizing RINEX observation data. The application extracts GNSS signal parameters, processes the data, and generates carrier phase graphs with phase slip detection.

Features

• File Upload: Supports multiple RINEX observation files for processing.
• Signal Extraction: Parses GNSS signals including GPS, GLONASS, Galileo, and more.
• Data Processing:
  • Converts raw observations into structured tabular format.
  • Computes carrier phase for single and dual frequencies.
• Visualization:
  • Single and double carrier phase graphs.
  • Phase slip detection with highlighted points.
• Downloadable CSV Output: Processed data can be exported for further analysis.

Technologies Used

• Backend: Python, Flask
• Frontend: HTML, CSS (Bootstrap), JavaScript
• Data Processing: NumPy, Pandas
• Visualization: Matplotlib

Installation

Prerequisites

Ensure you have Python 3.x installed.

Clone the Repository

git clone https://github.com/your-username/signal-analysis-visualization.git
cd signal-analysis-visualization

Install Dependencies

pip install -r requirements.txt

Running the Application

python app.py

The application will be accessible at http://127.0.0.1:5000/.

Usage

1. Upload RINEX observation files.
2. Process the files to extract GNSS observation data.
3. Select a satellite and observation type to analyze.
4. Generate carrier phase graphs with or without phase slip detection.
5. Download processed CSV data for further use.

Folder Structure

├── app.py                 # Main Flask application
├── templates/             # HTML templates
│   ├── upload.html
│   ├── csv.html
│   ├── graph.html
├── static/                # Static files (CSS, JavaScript, Images)
├── uploads/               # Directory for uploaded files
├── processed/             # Directory for processed CSV files
├── requirements.txt       # Dependencies
├── README.md              # Project documentation

API Endpoints

Endpoint	Method	Description
/	GET, POST	Upload RINEX files
/csv	GET, POST	Process and extract data
/graph	GET	View graphs
/generate_graph	POST	Generate graphs with selected parameters

License

This project is licensed under the MIT License.

Author

Developed by Aarti Arya

Contributions

Contributions are welcome! Feel free to fork the repository and submit a pull request.

Acknowledgments

• RINEX format documentation
• Matplotlib & Pandas for data visualization and processing