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Implement a comprehensive binary file parser for VOACAP coefficient data files. This parser reads the monthly ionospheric coefficient data (Coeff##.dat) and F2 critical frequency data (FOF2CCIR##.dat) files. Features: - Parse Coeff##.dat files (38,480 bytes) containing Fourier coefficients - Parse FOF2CCIR##.dat files (7,904 bytes) containing F2 frequency data - Support all 12 monthly data files - Provide convenient loading functions and data structures - Include comprehensive test suite (19 tests, all passing) - Add usage example demonstrating parser capabilities Implementation details: - Uses numpy for efficient binary data handling - Maintains exact Pascal data structure layout for compatibility - Includes enums for map types (VarMapKind, FixedMapKind) - Validates file sizes and data integrity - Returns data in numpy arrays for easy numerical processing Files added: - src/dvoacap/voacap_parser.py: Main parser module (550+ lines) - tests/test_voacap_parser.py: Comprehensive test suite (350+ lines) - examples/parser_example.py: Usage example and demonstration All tests pass successfully, validating correct parsing of all monthly data files.
skyelaird
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Nov 17, 2025
Added comprehensive propagation mapping system with signal strength (SDBW) and reliability (REL) visualization, addressing bandwidth parameter gap and providing VOACAP-equivalent map displays. Features Implemented: 1. Bandwidth parameter - Added to VoacapParams (fixes VOACAP_VALIDATION_FINDINGS) - bandwidth_hz field for receiver bandwidth specification - Default: 2700 Hz (SSB) - Affects noise floor calculations 2. Mode presets system - Automatic configuration for common modes - WSPR: 6 Hz, -28 dB SNR - FT8: 50 Hz, -21 dB SNR - CW: 500 Hz, +6 dB SNR - SSB: 2700 Hz, +10 dB SNR - Matches VOACAP bandwidth specifications (3/19/13/38 dB/Hz) 3. Propagation map generator - Grid-based prediction system - Maidenhead grid square alignment - Configurable resolution (coarse/medium/fine) - Generates REL and SDBW map data as JSON - Progress reporting for large grids (25k+ points) 4. Interactive map viewer - Space-efficient HTML5 interface - Fullscreen Leaflet map with dark theme - Band selection (40m-10m) - Mode selection (WSPR/FT8/CW/SSB) - Display toggle (Reliability vs Signal Strength) - Time selection (hourly UTC) - Color-coded grid squares with popup details - Floating legend with status bar Files Added: - Dashboard/mode_presets.py: Mode configuration presets - Dashboard/generate_propagation_maps.py: Map data generator - Dashboard/propagation_maps.html: Interactive map viewer - Dashboard/PROPAGATION_MAPS_README.md: Complete documentation Files Modified: - src/dvoacap/prediction_engine.py: Added bandwidth_hz parameter Map Generation Performance: - Medium resolution (2° x 1° squares): ~25,000 grid points for ±60° - Processing: ~0.1s per grid point - Tested successfully with 20m SSB Addresses Issues from VOACAP_VALIDATION_FINDINGS.md: ✅ Missing bandwidth parameter (was #1 critical issue) ✅ Mode preset system for easy configuration ✅ VOACAP-style REL/SDBW map visualization ✅ Maidenhead grid alignment for ham radio use Next Steps: - Generate map data for common bands/modes/times - Integrate with main dashboard - Add real-time solar data integration - Optimize for faster map generation Reference: VOACAP_VALIDATION_FINDINGS.md, test_corrected_params.py
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Implement a comprehensive binary file parser for VOACAP coefficient data files. This parser reads the monthly ionospheric coefficient data (Coeff##.dat) and F2 critical frequency data (FOF2CCIR##.dat) files.
Features:
Implementation details:
Files added:
All tests pass successfully, validating correct parsing of all monthly data files.