def test_loopcalc():
from numpy.testing import assert_almost_equal
myAnalogPLL = AnalogPLL(4, 521.8e+06, Navg=55.22, prescaler=2, plltype=2)
myAnalogPLL.loopcalc(1e6, 60.0, -107.8, 1e6, 0.7, 300)
# Assert filter values for a specific design
assert_almost_equal(myAnalogPLL.filter_vals['C1'], 4.2842e-10, 3)
assert_almost_equal(myAnalogPLL.filter_vals['C2'], 3.31384e-11, 3)
assert_almost_equal(myAnalogPLL.filter_vals['C3'], 3.31384e-12, 3)
assert_almost_equal(myAnalogPLL.filter_vals['Icp'], 516.691e-6, 3)
assert_almost_equal(myAnalogPLL.filter_vals['R1'], 1.3864303e3, 3)
assert_almost_equal(myAnalogPLL.filter_vals['R2'], 1.28688908e3, 3)
def test_loopcalc():
from numpy.testing import assert_almost_equal
myAnalogPLL=AnalogPLL(4, 521.8e+06, Navg=55.22, prescaler=2, plltype=2)
myAnalogPLL.loopcalc(1e6, 60.0, -107.8, 1e6, 0.7, 300)
# Assert filter values for a specific design
assert_almost_equal(myAnalogPLL.filter_vals['C1'], 4.2842e-10, 4)
assert_almost_equal(myAnalogPLL.filter_vals['C2'], 3.31384e-11, 4)
assert_almost_equal(myAnalogPLL.filter_vals['C3'], 3.31384e-12, 4)
assert_almost_equal(myAnalogPLL.filter_vals['Icp'], 516.691e-6, 4)
assert_almost_equal(myAnalogPLL.filter_vals['R1'], 1.3864303e3, 4)
assert_almost_equal(myAnalogPLL.filter_vals['R2'], 1.28688908e3, 4)
def test_lti():
from numpy.testing import assert_almost_equal
import matplotlib.pyplot as plt
# Create a PLL and obtain the lti system
for order in [3, 4]:
myAnalogPLL=AnalogPLL(order, 521.8e+06, Navg=10, prescaler=2, plltype=2)
myAnalogPLL.loopcalc(1e6, 60.0, -107.8, 1e6, 0.7, 300)
G, T, H = myAnalogPLL.lti()
# The open loop transfer function G
f = np.linspace(0.95e6, 1.05e6, num=100)
w, mag, phase = G.bode(w=2*k.pi*f)
ix = np.max(np.where(mag>=0))
assert_almost_equal(f[ix]/1e6, 1, 1)
def test_lti():
from numpy.testing import assert_almost_equal
import matplotlib.pyplot as plt
# Create a PLL and obtain the lti system
for order in [3, 4]:
myAnalogPLL = AnalogPLL(order,
521.8e+06,
Navg=10,
prescaler=2,
plltype=2)
myAnalogPLL.loopcalc(1e6, 60.0, -107.8, 1e6, 0.7, 300)
G, T, H = myAnalogPLL.lti()
# The open loop transfer function G
f = np.linspace(0.95e6, 1.05e6, num=100)
w, mag, phase = G.bode(w=2 * k.pi * f)
ix = np.max(np.where(mag >= 0))
assert_almost_equal(f[ix] / 1e6, 1, 1)
def test_add_noise_sources():
from numpy.testing import assert_almost_equal
import matplotlib.pyplot as plt
myAnalogPLL = AnalogPLL(3,
521.8e+06,
Navg=10,
prescaler=2,
plltype='Integer')
myAnalogPLL.loopcalc(1e6, 60.0, -130.0, 1e6, 0.1, 300)
pinput = [
Pnoise([1e3, 1e6, 1e9], [-140, -140, -140], label='input', fc=48e6)
]
poutput = [
Pnoise([1e3, 1e6, 1e9], [-70, -120, -180], label='VCO', fc=480e6)
]
fm = np.logspace(4, 8, 100)
pn_total, pn_in_colored, pn_out_colored = \
myAnalogPLL.add_noise_sources(fm, pn_inputs=pinput, pn_outputs=poutput)
assert_almost_equal(pn_total.interp1d(1e8), -160, 2)
assert_almost_equal(pn_total.interp1d(1e4), -120, 2)
def test_add_noise_sources():
from numpy.testing import assert_almost_equal
import matplotlib.pyplot as plt
myAnalogPLL=AnalogPLL(4, 521.8e+06, Navg=10, prescaler=2, plltype=2)
myAnalogPLL.loopcalc(1e6, 60.0, -130.0, 1e6, 0.1, 300)
myAnalogPLL.lti()
pinput = [Pnoise([1e3, 1e6, 1e9],[-140, -140, -140], label='input', fc=48e6)]
poutput = [Pnoise([1e3, 1e6, 1e9],[-70, -120, -180], label='VCO', fc=480e6)]
fm = np.logspace(4,8,100)
pn_total, pn_in_colored, pn_out_colored = \
myAnalogPLL.add_noise_sources(fm, pn_inputs=pinput, pn_outputs=poutput)
assert_almost_equal(pn_total.interp1d(1e8), -160, 2)
assert_almost_equal(pn_total.interp1d(1e4), -120, 2)
