Rigol DSA815 Python

This project provides a Python interface for interacting with the Rigol DSA815 spectrum analyzer. It includes functionality for initializing the device, performing measurements, and processing the resulting data.

Overview

The Rigol DSA815 is a versatile spectrum analyzer that can be controlled programmatically using this Python library. This project aims to simplify the process of automating measurements and data collection from the device.

Features

• Initialize the Rigol DSA815 device
• Perform various types of measurements
• Process and analyze measurement data
• Save and load measurement configurations
• Generate reports from measurement data

Installation

To get started with the Rigol DSA815 Python library, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/rigol-dsa815-python.git
   

2. Navigate to the project directory:

   cd rigol-dsa815-python
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

Usage

To use the library, you can run the main application:

python src/main.py

Example

Here is a simple example of how to use the library to initialize the device and perform a measurement using the DSA815.py file:

from Rigol_DSA815 import DSA815

def main():
   # Connect to our spectrum analyzer
   print("Connecting...")
   test = DSA815()
   test.conn()  # Establish connection with the spectrum analyzer

   print("Configuring...")
   test.set_input_atten(30)  # Set input attenuation to 30 dB
   test.set_center_frequency(80e6)  # Set center frequency to 80 MHz
   test.set_span(130e3)  # Set frequency span to 130 kHz
   test.set_RBW(100)  # Set resolution bandwidth to 100 Hz
   test.set_VBW(100)  # Set video bandwidth to 100 Hz
   test.set_sweep_count(1)  # Set the number of sweeps to 1
   test.set_sweep_time(5)  # Set the sweep time to 5 seconds

   print("Initiating measurement...")
   test.initiate_measurement()  # Start the measurement process

   # Save the trace on the spectrum analyzer
   trace_file_save_path = 'D:\\Trace1.trc'
   test.save_trace('TRACE1', trace_file_save_path)  # Save the trace as 'TRACE1' to the specified path

   # Load the trace from the spectrum analyzer and save it to a CSV file on the computer
   csv_file_path = r'C:\\path\\to\\your\\directory\\trace1.csv'
   test.load_trace(trace_file_save_path, csv_file_path)  # Load the trace and save it as a CSV file

if __name__ == "__main__":
   main()

To run the example, execute the following command:

python src/DSA815.py

For more detailed usage, refer to the documentation in the docs directory.

Contributing

Contributions are welcome! If you have suggestions for improvements or new features, please open an issue or submit a pull request.

License

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