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镜像自地址
https://gitee.com/sunhf/gprMax.git
已同步 2025-08-06 12:36:51 +08:00
102 行
3.6 KiB
Python
102 行
3.6 KiB
Python
# Copyright (C) 2015: The University of Edinburgh
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# Authors: Craig Warren and Antonis Giannopoulos
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#
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# This file is part of gprMax.
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#
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# gprMax is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# gprMax is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
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import argparse
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import h5py
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import numpy as np
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np.seterr(divide='ignore', invalid='ignore')
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import matplotlib.pyplot as plt
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from gprMax.exceptions import CmdInputError
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"""Plots the s11 scattering parameter (input port voltage reflection coefficient) from an output file containing a transmission line source."""
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# Parse command line arguments
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parser = argparse.ArgumentParser(description='Plots the s11 scattering parameter (input port voltage reflection coefficient) from an output file containing a transmission line source.', usage='cd gprMax; python -m tools.plot_s11 outputfile')
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parser.add_argument('outputfile', help='name of output file including path')
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args = parser.parse_args()
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# Open output file and read some attributes
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file = args.outputfile
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f = h5py.File(file, 'r')
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dt = f.attrs['dt']
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iterations = f.attrs['Iterations']
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time = np.arange(0, dt * iterations, dt)
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time = time / 1e-9
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path = '/tls/tl1/'
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Vinc = f[path + 'Vinc'][:]
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Vscat = f[path + 'Vscat'][:]
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Vtotal = f[path +'Vtotal'][:]
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# Calculate magnitude of frequency spectra
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Vincp = np.abs(np.fft.fft(Vinc))**2
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freqs = np.fft.fftfreq(Vincp.size, d=dt)
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Vscatp = np.abs(np.fft.fft(Vscat))**2
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s11 = np.abs(Vscatp / Vincp)
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# Convert to decibels
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Vincp = 10 * np.log10(Vincp)
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Vscatp = 10 * np.log10(Vscatp)
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s11 = 10 * np.log10(s11)
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# Set plotting range to a frequency
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pltrange = np.where(freqs > 2e9)[0][0]
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pltrange = np.s_[1:pltrange]
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# Plot incident voltage
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fig, ((ax1, ax2), (ax3, ax4), (ax5, ax6)) = plt.subplots(nrows=3, ncols=2, num='Incident and scattered voltages', figsize=(20, 10), facecolor='w', edgecolor='w')
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ax1.plot(time, Vinc, 'r', lw=2, label='Vinc')
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ax1.set_xlabel('Time [ns]')
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ax1.set_ylabel('Incident (field) voltage [V]')
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ax1.set_xlim([0, np.amax(time)])
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ax1.grid()
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# Plot frequency spectra of incident voltage
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markerline, stemlines, baseline = ax2.stem(freqs[pltrange]/1e9, Vincp[pltrange], '-.')
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plt.setp(stemlines, 'color', 'r')
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plt.setp(markerline, 'markerfacecolor', 'r', 'markeredgecolor', 'r')
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ax2.set_xlabel('Frequency [GHz]')
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ax2.set_ylabel('Power [dB]')
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ax2.grid()
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# Plot scattered voltage
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ax3.plot(time, Vscat, 'r', lw=2, label='Vscat')
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ax3.set_xlabel('Time [ns]')
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ax3.set_ylabel('Scattered (field) voltage [V]')
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ax3.set_xlim([0, np.amax(time)])
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ax3.grid()
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# Plot frequency spectra of scattered voltage
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markerline, stemlines, baseline = ax4.stem(freqs[pltrange]/1e9, Vscatp[pltrange], '-.')
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plt.setp(stemlines, 'color', 'r')
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plt.setp(markerline, 'markerfacecolor', 'r', 'markeredgecolor', 'r')
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ax4.set_xlabel('Frequency [GHz]')
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ax4.set_ylabel('Power [dB]')
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ax4.grid()
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# Plot frequency spectra of s11
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markerline, stemlines, baseline = ax6.stem(freqs[pltrange]/1e9, s11[pltrange], '-.')
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plt.setp(stemlines, 'color', 'r')
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plt.setp(markerline, 'markerfacecolor', 'r', 'markeredgecolor', 'r')
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ax6.set_xlabel('Frequency [GHz]')
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ax6.set_ylabel('Power [dB]')
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ax6.grid()
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plt.show()
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f.close() |