chirp-64 1.0.0

Cross-correlation based digital mode reciever/simulator for amateur radios

Chirp Modem Simulator

A Python-based simulator for chirp modulation communication systems. This project implements a complete modem system using chirp signals for binary data transmission, including frame synchronization, payload handling, and error detection.

Features

• Configurable chirp-based modulation
• Frame synchronization using preamble and Start Frame Delimiter (SFD)
• CRC32 error detection
• Configurable noise simulation
• Detailed signal visualization and analysis tools
• Support for WAV file input/output
• Multiple verbosity levels for debugging

Project Structure

chirp-64/
├── pyproject.toml    # Poetry configuration
├── src/
|   ├── chirp_64/      # Main package directory
|   │   ├── __init__.py
|   │   ├── __main__.py   # Entry point
|   │   ├── config.py     # Configuration parameters and validation
|   │   ├── signal_processor.py # Signal processing utilities
|   │   ├── modem.py      # Transmitter, Receiver, and Channel classes
|   │   └── plotter.py    # Visualization tools
├── tests/            # Test directory
│   └── __init__.py
└── README.md         # This file

Requirements

• Python 3.8+
• Poetry for dependency management

Installation

1. Install Poetry if you haven't already:

curl -sSL https://install.python-poetry.org | python3 -

2. Clone the repository:

git clone https://github.com/yourusername/chirp-64.git
cd chirp-64

3. Install dependencies using Poetry:

poetry install

Usage

Basic Usage

With Poetry, run the module using:

Generate and transmit a new signal:

poetry run chirp-64 -o output.wav

Process an existing WAV file:

poetry run chirp-64 -i input.wav

Running Directly from Source

Alternatively, you can run using Python module syntax:

poetry run python -m chirp_64 -o output.wav

Verbosity Levels

The program supports multiple verbosity levels:

• Default: Only warnings and errors
• -v: Basic info (SNR, BER, status messages)
• -vv: Info + signal plots
• -vvv: Debug info + all plots including correlations

Configuration Parameters

All major parameters can be configured via command-line arguments:

poetry run chirp-64 -o output.wav \
    --fs 48000 \            # Sampling frequency (Hz)
    --baud-rate 200 \       # Symbols per second
    --f-start 2000 \        # Start frequency for chirps (Hz)
    --f-end 2400 \          # End frequency for chirps (Hz)
    --amplitude 0.8 \       # Chirp amplitude
    --noise-power 0.5 \     # Noise power
    --preamble "11001100" \ # Preamble bit sequence
    --sfd "11111111" \      # Start Frame Delimiter sequence
    --payload-length 128 \  # Number of payload bits
    --max-bits 1000        # Maximum bits to annotate in plots

Example Commands

1. Generate signal with default parameters:

poetry run chirp-64 -o output.wav

2. Generate and visualize signal:

poetry run chirp-64 -vv -o output.wav

3. Process input file with custom parameters:

poetry run chirp-64 -v -i input.wav --baud-rate 200 --f-start 2000 --f-end 2400

4. Full debug mode with all plots:

poetry run chirp-64 -vvv -o output.wav

Development

Setting up Development Environment

1. Clone the repository:

git clone https://github.com/yourusername/chirp-64.git
cd chirp-64

2. Install development dependencies:

poetry install --with dev

3. Activate the virtual environment:

poetry shell

Running Tests

poetry run pytest

Code Formatting

Format code using black:

poetry run black chirp_64

Signal Structure

The transmitted frame consists of:

1. Preamble (8 bits): For frame detection
2. Start Frame Delimiter (8 bits): For frame synchronization
3. Payload Size Field (16 bits): Indicates payload length
4. Payload (variable length): User data
5. CRC32 (32 bits): Error detection

Output Files

• WAV files containing the modulated signal
• Plot visualizations (when using -vv or -vvv):
  • Transmitted signal with bit annotations
  • Received signal with frame structure markers
  • Correlation plots for frame detection

Logging Output

The program provides different levels of logging:

• Transmission data (payload, CRC)
• Reception data (received payload, CRC)
• Signal-to-Noise Ratio (SNR)
• Bit Error Rate (BER)
• Frame detection status
• Various debug information at higher verbosity levels

Advanced Usage

Custom Frame Parameters

poetry run chirp-64 -o output.wav \
    --preamble "10101010" \
    --sfd "11110000" \
    --payload-length 128

Noise Testing

poetry run chirp-64 -o output.wav --noise-power 2.0

High-Speed Communication

poetry run chirp-64 -o output.wav --baud-rate 200 --fs 48000

Contributing

1. Fork the project
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Install development dependencies (poetry install --with dev)
4. Make your changes
5. Run tests (poetry run pytest)
6. Format code (poetry run black chirp_64)
7. Commit your changes (git commit -m 'Add amazing feature')
8. Push to the branch (git push origin feature/amazing-feature)
9. Open a Pull Request

License

MIT License