Meteor_demod

screenshot of Meteor_demod

Meteor-M2 LRPT demodulator

Overview

The Meteor-M2 series demodulator is an excellent tool for enthusiasts of satellite weather data, particularly for those interested in decoding signals from the Meteor-M2 Russian weather satellite series. This free, open-source demodulator allows users to work seamlessly with I/Q recordings in .wav format. It's designed to output an 8-bit soft-QPSK file, which can be transformed into images using compatible decoding software. The user-friendly nature of the software makes it accessible to both novices and experts in satellite data processing, providing valuable insights into weather patterns based on satellite imagery.

With its diverse features and dynamic capabilities, this demodulator stands out in the field of satellite demodulation. From supporting multiple modulation schemes to enabling live demodulation on low-power devices like the Raspberry Pi Zero, it showcases innovative solutions for real-time data acquisition and analysis. Whether you're a hobbyist, researcher, or simply curious about meteorological data, the Meteor-M2 series demodulator is a remarkable piece of technology worth exploring.

Features

  • Multiple Mode Support: Works with regular (72k, -r 72000) and interleaved (80k, -r 80000) modes for flexible operation.
  • Modulation Schemes: Supports both QPSK and OQPSK modulation, ensuring versatility in signal processing.
  • Sample Input: Can read samples directly from stdin, providing convenience for users in various setups.
  • Flexible Output Options: Outputs samples to stdout when configured, allowing for streamlined data processing without status indicators.
  • Customizable Compilation: Users can disable the ncurses interface at compile time for a simpler build if graphical features are not needed.
  • Advanced Options: Features detailed parameter controls like PLL bandwidth and FIR filter order for optimized signal acquisition and filtering.
  • Live Demodulation: Capable of live demodulation on low-power devices, such as a Raspberry Pi Zero, making it accessible for on-the-go weather data collection.
  • Real-Time Visualization: Offers constellation diagrams during live demodulation, enhancing the user experience with immediate visual feedback on signal quality.