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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
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This plot was created with Matplotlib.
Source code
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Python code

import 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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29 December 2018

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Date/TimeThumbnailDimensionsUserComment
current11:31, 29 December 2018Thumbnail for version as of 11:31, 29 December 20182,100 × 1,200 (246 KB)KirlfUser created page with UploadWizard

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