From: Automatic Modulation Recognition Using Wavelet Transform and Neural Networks in Wireless Systems
Channel model | Full-class recognition |
---|---|
GSM/EDGE channel models | |
Typical case for rural area (RA100), 6 taps | 99.7% |
Typical case for hilly terrain (HT80), 12 taps | 99.1% |
Typical case for hilly terrain (HT80), 6 taps | 98.3% |
Typical case for urban area (TU60), 12 taps | 99.2% |
Typical case for urban area (TU60), 6 taps | 97.7% |
Typical case for very small cells (TIx) | 99.2% |
COST 207 channel models | |
Rural Area (RA100), 6 taps | 99.2% |
Typical Urban (TU60), 12 taps | 99.7% |
Bad Urban (BU60), 12 taps | 97.9% |
Hilly Terrain (HT80), 12 taps | 99.3% |
ITU-R 3G channel models | |
Indoor office (IA5) | 98.4% |
Outdoor to indoor and pedestrian (PA10) | 99.7% |
Vehicular - high antenna (VA100) | 97.7% |
Satellite, LOS (SA100LOS) | 99.3% |
Satellite, NLOS (SA100NLOS) | 99.1% |