00-binomialFilt_N4.py

from binomialFilt import *
import matplotlib.pyplot as plt


# Set central frequency f0 at 2.4 GHz, light speed in vacuum, central wavelength (at f0), physical length of each section
f0 = 2.4e9
c = 3e8
lambda0 = c/f0
sect_length = lambda0/4



# frequency sweep parameters
fmin = 0.2e9
fmax = 4.6e9
nstep = 1000

# Design a binomial transformer with 4 section, that adapts from Z0 = 50ohm to ZL = 75ohm
Zn = binom_design(4, 50, 75)

print(Zn)

# Let's do a frequency sweep and get the reflection coefficient at sample frequencies in the range fmin-fmax
gammafreqsweep = refl_coeff_fsweep(Zn, f0, fmin, fmax, nstep)

# plot reflection coefficient as function of frequency
plt.plot(gammafreqsweep[0], gammafreqsweep[1], label=f'N={4}')
plt.xlabel('f [GHz]')
plt.ylabel('|| \u0393 ||')
plt.legend()

plt.axhline(y = 0.05, color = 'r', linestyle = ':')

plt.show()