File:PSD MSK PSK.png
Summary
| Description |
English: Power Spectral Densities of the MSK, BPSK and QPSK.
Developed according to J.P. Linnartz's MATLAB script |
| Date | |
| Source | Own work |
| Author | Kirlf |
| PNG development | |
| Source code | Python codeimport numpy as np
import matplotlib.pyplot as plt
def normal(x):
for idx, item in enumerate(x):
if item < -100:
x[idx] = None
return x
f = np.array([i for i in range(-300, 300, 1)])/100
msk = normal(10*np.log10( (16 / (np.pi**2) )\
* (np.cos(6.2832 * f))**2 / (1 - 16 * f**2)**2 ))
bpsk = normal(10*np.log10( 2 * (np.sin(np.pi*f)/(np.pi*f))**2 ))
qpsk = normal(10*np.log10( 2 * (np.sin(2*np.pi* f)/(2*np.pi*f))**2 ))
fig = plt.figure(figsize=(7, 4), dpi=300)
plt.plot(f, bpsk, label='BPSK', color='orange')
plt.plot(f, qpsk, label='QPSK', color='blue')
plt.plot(f, msk, label='MSK', color='green')
plt.title("Normalized Power Spectral Density")
plt.xlabel('Frequency Offset / Bit Rate (Hz/bit/s)')
plt.ylabel('Spectral Power Level (dB)')
plt.legend()
plt.grid()
plt.savefig('PSD.png')
|
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