ws.add_chain([rx_spd, eq, dem, err])

# ------------------------------------------------------------ # 3. Shared channel (Rayleigh, Doppler 20 Hz) # ------------------------------------------------------------ chan = cw.blocks.Channel(model='rayleigh', doppler=20, snr_range=np.arange(0, 21, 2))

# ------------------------------------------------------------ # 6. Run the Monte‑Carlo simulation # ------------------------------------------------------------ ws.run(monte_carlo=500, progress=True)

# ------------------------------------------------------------ # 5. Assemble the full chain # ------------------------------------------------------------ for src, spd in users: ws.add_chain([src, spd, chan])

# ------------------------------------------------------------ # 4. Receiver chain (matched filter + LMS equalizer) # ------------------------------------------------------------ rx_spd = cw.blocks.Despread(code_set) # common despreader eq = cw.blocks.Equalizer(type='LMS', step=0.01) dem = cw.blocks.Demodulator(mod='BPSK') err = cw.blocks.ErrorCounter()

#!/usr/bin/env python3 # ------------------------------------------------------------ # 3‑User CDMA Uplink Demo – Rayleigh fading # ------------------------------------------------------------ import cdma_workshop as cw import numpy as np

# ------------------------------------------------------------ # 7. Export results # ------------------------------------------------------------ ws.export_results('3User_Rayleigh_BER.csv') ws.plot('BER_vs_SNR', export='PNG') print("Demo completed – results saved to 3User_Rayleigh_BER.csv")