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@DL2MF DL2MF released this 16 Jun 19:53
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OpenWX SDR - Streamlined Radiosonde Decoder

A lightweight, efficient radiosonde decoder for Raspberry Pi and x86_64 systems, designed to work with RTL-SDR, Airspy and KA9Q radio receivers. Built on the excellent rs1729/RS decoders embedded into this framework.

Current Version: 1.0.50 (June 15, 2026)

✨ What's New in v1.0.50

🔧 PTU Data Improvements

  • Recency-Based PTU Merging: Improved text fallback matching handles frame number
  • --softin Detection: Auto-detects decoder capabilities at startup with clear warnings*
  • Conditional Environment: Only populates PTU when actual measurements exist
  • Smarter Cache Management: Timestamp-based cleanup maintains last 100 entries

*We keep the rtl_fm --raw method for this release to keep a lean approach and reduce complexity

🎯 Interactive Sonde Analysis

  • Context Menu: Right-click any active sonde for quick access to statistics and predictions
  • Advanced Statistics Modal: 7 interactive Chart.js graphs showing:
    • Altitude profile
    • Vertical velocity
    • Horizontal velocity
    • RSSI (signal strength)
    • SNR (signal-to-noise ratio)
    • GPS satellites count
    • Battery voltage
  • Historical Data Viewer: Load and analyze logfiles from past flights with dropdown selector
  • 24-Hour Time Format: All charts use UTC time in HH:mm format for professional meteorological analysis
  • Gap Visualization: Charts correctly show data gaps where telemetry was unavailable

🗺️ Enhanced Map Features

  • Launch & Landing Markers: Visual PNG icons mark takeoff and touchdown locations
  • Flight Path Overlay: Display historical tracks from logfiles on the map
  • Inactive Sondes Management: Track and manage previously decoded sondes with easy removal
  • Position Details: Lat/Lon coordinates displayed in landing marker popups

🔮 Flight Path Prediction

  • Tawhiri Integration: Real-time flight path prediction using Sondehub's Tawhiri API
  • Intelligent Burst Altitude: Automatic burst height estimation based on sonde type:
    • RS41: 30,000m (Bergen: 33,500m, Meppen: 25,000m)
    • DFM: 17,500m
    • Others: 25,000m
  • Drag Compensation: Physics-based descent rate calculation accounting for air density
  • Visual Prediction: Purple dashed line showing predicted trajectory
  • Landing Details: Interactive popup with landing time, coordinates, and flight parameters
  • Burst Marker: Shows estimated balloon burst location for ascending sondes

📊 Data Improvements

  • Battery Tracking: Complete battery voltage history now recorded and displayed
  • Satellite Data: GPS satellite count tracking throughout flight
  • Enhanced Logfile Format: All telemetry fields properly logged with timestamps
  • Live Data API: Real-time statistics for active sondes via REST API
  • **Removing SNR/RSSI from Sondehub JSON output, fixed DFM and frequency fields

🔧 Technical Enhancements

  • Flask Assets Serving: Proper static asset management for images and icons
  • Chart.js Memory Management: Proper integrated chart management
  • Responsive Design: Statistics and settings uses dynamic screen width for optimal viewing

🎯 Core Features

  • 🎯 Automatic Signal Detection: Intelligent spectrum scanning with automatic radiosonde detection
  • 🔧 Multiple Sonde Types: Supports RS41, RS92, DFM, M10*, M20*, iMet, LMS6, MRZ
  • 📡 Dual SDR Support: Compatible with RTL-SDR, Airspy R2, Airspy Mini USB dongles
  • 🎛️ Virtual Receivers: Configurable parallel decoding with KA9Q radio
  • 🗺️ Modern Web Interface: Clean Leaflet-based map with real-time flight tracking
  • 📤 OpenWX Integration: MQTT & UDP JSON output for seamless data upload
  • 📤 Sondehub Integration: Direct upload to sondehub.org with listener statistics
  • Lightweight: Minimal overhead compared to other decoder solutions
  • 🔧 One-Step Installer: Easy installation of all required packages
  • Detection and handling of M10/M20 have been improved - tnx to Vigor for feedback!

💻 Hardware Requirements

  • Raspberry Pi 4 / 5 / 400 / 500 (8GB recommended) or Intel x86_64 client
  • Debian 13 "Trixie" or Raspberry Pi OS (64 Bit)
  • RTL-SDR, Airspy R2, Airspy Mini dongle or KA9Q-compatible SDR
  • Antenna tuned for 400-406 MHz
  • Selective 400 MHz LNA
  • SAW filter recommended