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PROBLEM: DVOACAP was predicting 0-1.2% reliability when VOACAP showed 20-100% reliability, making it completely unusable for practical propagation predictions. Strong 40+ dB SNR signals were marked as "unlikely". ROOT CAUSE: The required_snr parameter was using VOACAP's validation test value (73 dB) instead of a realistic communications threshold (10 dB for SSB). This caused the reliability calculation to treat even strong signals as insufficient. SOLUTION: - Set required_snr = 10.0 in compare_voacap_charts.py for realistic predictions - Keep default at 73.0 in PredictionParams for validation compatibility - Document the parameter meaning and recommended values by mode RESULTS: Before fix: 612km path showed 1.2% reliability (VOACAP: 80%) After fix: 612km path shows 93.5% reliability (VOACAP: 80%) Reliability predictions are now realistic and physically sensible: - Strong SNR (40+ dB) → High reliability (93-98%) - Moderate SNR (28-30 dB) → Good reliability (85-86%) This makes DVOACAP suitable for operational HF propagation prediction. See REQUIRED_SNR_PARAMETER_FIX.md for complete analysis. Fixes tool propagation issue identified in VOACAP cap wheel comparison.
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PROBLEM:
DVOACAP was predicting 0-1.2% reliability when VOACAP showed 20-100% reliability, making it completely unusable for practical propagation predictions. Strong 40+ dB SNR signals were marked as "unlikely".
ROOT CAUSE:
The required_snr parameter was using VOACAP's validation test value (73 dB) instead of a realistic communications threshold (10 dB for SSB). This caused the reliability calculation to treat even strong signals as insufficient.
SOLUTION:
RESULTS:
Before fix: 612km path showed 1.2% reliability (VOACAP: 80%) After fix: 612km path shows 93.5% reliability (VOACAP: 80%)
Reliability predictions are now realistic and physically sensible:
This makes DVOACAP suitable for operational HF propagation prediction.
See REQUIRED_SNR_PARAMETER_FIX.md for complete analysis.
Fixes tool propagation issue identified in VOACAP cap wheel comparison.
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