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已同步 2025-08-06 12:36:51 +08:00
366 行
14 KiB
Python
366 行
14 KiB
Python
# Copyright (C) 2015-2016: 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, os
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import h5py
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.gridspec as gridspec
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#import scipy.io as sio
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"""Plots antenna parameters (s11 parameter and input impedance and admittance) 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 antenna parameters (s11 parameter and input impedance and admittance) from an output file containing a transmission line source.', usage='cd gprMax; python -m tools.plot_antenna_params outputfile')
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parser.add_argument('outputfile', help='name of output file including path')
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parser.add_argument('-tln', default=1, type=int, help='transmission line number')
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args = parser.parse_args()
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print("Antenna parameter analysis from file '{}'...".format(args.outputfile))
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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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# Choose a specific frequency bin spacing
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#df = 1.5e6
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#iterations = int((1 / df) / dt)
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# Calculate time array and frequency bin spacing
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time = np.linspace(0, 1, iterations)
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time *= (iterations * dt)
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df = 1 / np.amax(time)
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print('Time window: {:g} s ({} iterations)'.format(np.amax(time), iterations))
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print('Time step: {:g} s'.format(dt))
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print('Frequency bin spacing: {:g} Hz'.format(df))
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# Read/calculate voltages and currents
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path = '/tls/tl' + str(args.tln) + '/'
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Vinc = f[path + 'Vinc'][:]
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Iinc = f[path + 'Iinc'][:]
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Vtotal = f[path +'Vtotal'][:]
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Itotal = f[path +'Itotal'][:]
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Vrec = f['/rxs/rx1/Ex'][:] * -1
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f.close()
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Vref = Vtotal - Vinc
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Iref = Itotal - Iinc
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# Frequency bins
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freqs = np.fft.fftfreq(Vinc.size, d=dt)
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# Delay correction - current lags voltage, so delay voltage to match current timestep
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delaycorrection = np.exp(-1j * 2 * np.pi * freqs * (dt / 2))
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# Calculate s11
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s11 = np.abs(np.fft.fft(Vref) * delaycorrection) / np.abs(np.fft.fft(Vinc) * delaycorrection)
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s21 = np.abs(np.fft.fft(Vrec)) / np.abs(np.fft.fft(Vinc) * delaycorrection)
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# Calculate input impedance
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zin = (np.fft.fft(Vtotal) * delaycorrection) / np.fft.fft(Itotal)
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# Load MoM zin from MATLAB antenna toolbox
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#MoM = {}
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#sio.loadmat('/../tests/numerical/vs_MoM_MATLAB/antenna_bowtie_fs/antenna_bowtie_fs_MoM.mat', MoM)
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# Calculate input admittance
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yin = np.fft.fft(Itotal) / (np.fft.fft(Vtotal) * delaycorrection)
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# Convert to decibels
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Vincp = 20 * np.log10(np.abs((np.fft.fft(Vinc) * delaycorrection)))
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Iincp = 20 * np.log10(np.abs(np.fft.fft(Iinc)))
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Vrefp = 20 * np.log10(np.abs((np.fft.fft(Vref) * delaycorrection)))
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Irefp = 20 * np.log10(np.abs(np.fft.fft(Iref)))
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Vtotalp = 20 * np.log10(np.abs((np.fft.fft(Vtotal) * delaycorrection)))
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Itotalp = 20 * np.log10(np.abs(np.fft.fft(Itotal)))
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s11 = 20 * np.log10(s11)
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s21 = 20 * np.log10(s21)
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# Set plotting range
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pltrangemin = 1
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# To a certain drop from maximum power
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pltrangemax = np.where((np.amax(Vincp[1::]) - Vincp[1::]) > 60)[0][0] + 1
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# To a maximum frequency
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#pltrangemax = np.where(freqs > 6e9)[0][0]
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pltrange = np.s_[pltrangemin:pltrangemax]
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# Print some useful values from s11, input impedance and admittance
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s11minfreq = np.where(s11[pltrange] == np.amin(s11[pltrange]))[0][0]
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print('s11 minimum: {:g} dB at {:g} Hz'.format(np.amin(s11[pltrange]), freqs[s11minfreq + pltrangemin]))
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print('At {:g} Hz...'.format(freqs[s11minfreq + pltrangemin]))
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print('Input impedance: {:.1f}{:+.1f}j Ohms'.format(np.abs(zin[s11minfreq + pltrangemin]), zin[s11minfreq + pltrangemin].imag))
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print('Input admittance (mag): {:g} S'.format(np.abs(yin[s11minfreq + pltrangemin])))
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print('Input admittance (phase): {:.1f} deg'.format(np.angle(yin[s11minfreq + pltrangemin], deg=True)))
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# Figure 1
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# Plot incident voltage
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fig1, ax = plt.subplots(num='Transmission line parameters', figsize=(20, 12), facecolor='w', edgecolor='w')
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gs1 = gridspec.GridSpec(4, 2, hspace=0.7)
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ax = plt.subplot(gs1[0, 0])
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ax.plot(time, Vinc, 'r', lw=2, label='Vinc')
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ax.set_title('Incident voltage')
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ax.set_xlabel('Time [s]')
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ax.set_ylabel('Voltage [V]')
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ax.set_xlim([0, np.amax(time)])
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ax.grid()
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# Plot frequency spectra of incident voltage
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ax = plt.subplot(gs1[0, 1])
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markerline, stemlines, baseline = ax.stem(freqs[pltrange], Vincp[pltrange], '-.')
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plt.setp(baseline, 'linewidth', 0)
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plt.setp(stemlines, 'color', 'r')
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plt.setp(markerline, 'markerfacecolor', 'r', 'markeredgecolor', 'r')
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ax.plot(freqs[pltrange], Vincp[pltrange], 'r', lw=2)
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ax.set_title('Incident voltage')
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ax.set_xlabel('Frequency [Hz]')
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ax.set_ylabel('Power [dB]')
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ax.grid()
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# Plot incident current
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ax = plt.subplot(gs1[1, 0])
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ax.plot(time, Iinc, 'b', lw=2, label='Vinc')
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ax.set_title('Incident current')
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ax.set_xlabel('Time [s]')
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ax.set_ylabel('Current [A]')
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ax.set_xlim([0, np.amax(time)])
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ax.grid()
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# Plot frequency spectra of incident current
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ax = plt.subplot(gs1[1, 1])
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markerline, stemlines, baseline = ax.stem(freqs[pltrange], Iincp[pltrange], '-.')
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plt.setp(baseline, 'linewidth', 0)
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plt.setp(stemlines, 'color', 'b')
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plt.setp(markerline, 'markerfacecolor', 'b', 'markeredgecolor', 'b')
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ax.plot(freqs[pltrange], Iincp[pltrange], 'b', lw=2)
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ax.set_title('Incident current')
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ax.set_xlabel('Frequency [Hz]')
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ax.set_ylabel('Power [dB]')
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ax.grid()
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# Plot total voltage
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ax = plt.subplot(gs1[2, 0])
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ax.plot(time, Vtotal, 'r', lw=2, label='Vinc')
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ax.set_title('Total (incident + reflected) voltage')
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ax.set_xlabel('Time [s]')
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ax.set_ylabel('Voltage [V]')
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ax.set_xlim([0, np.amax(time)])
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ax.grid()
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# Plot frequency spectra of total voltage
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ax = plt.subplot(gs1[2, 1])
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markerline, stemlines, baseline = ax.stem(freqs[pltrange], Vtotalp[pltrange], '-.')
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plt.setp(baseline, 'linewidth', 0)
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plt.setp(stemlines, 'color', 'r')
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plt.setp(markerline, 'markerfacecolor', 'r', 'markeredgecolor', 'r')
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ax.plot(freqs[pltrange], Vtotalp[pltrange], 'r', lw=2)
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ax.set_title('Total (incident + reflected) voltage')
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ax.set_xlabel('Frequency [Hz]')
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ax.set_ylabel('Power [dB]')
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ax.grid()
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# Plot total current
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ax = plt.subplot(gs1[3, 0])
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ax.plot(time, Itotal, 'b', lw=2, label='Vinc')
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ax.set_title('Total (incident + reflected) current')
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ax.set_xlabel('Time [s]')
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ax.set_ylabel('Current [A]')
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ax.set_xlim([0, np.amax(time)])
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ax.grid()
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# Plot frequency spectra of reflected current
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ax = plt.subplot(gs1[3, 1])
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markerline, stemlines, baseline = ax.stem(freqs[pltrange], Itotalp[pltrange], '-.')
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plt.setp(baseline, 'linewidth', 0)
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plt.setp(stemlines, 'color', 'b')
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plt.setp(markerline, 'markerfacecolor', 'b', 'markeredgecolor', 'b')
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ax.plot(freqs[pltrange], Itotalp[pltrange], 'b', lw=2)
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ax.set_title('Total (incident + reflected) current')
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ax.set_xlabel('Frequency [Hz]')
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ax.set_ylabel('Power [dB]')
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ax.grid()
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## Plot reflected (reflected) voltage
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#ax = plt.subplot(gs1[4, 0])
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#ax.plot(time, Vref, 'r', lw=2, label='Vref')
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#ax.set_title('Reflected voltage')
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#ax.set_xlabel('Time [s]')
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#ax.set_ylabel('Voltage [V]')
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#ax.set_xlim([0, np.amax(time)])
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#ax.grid()
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#
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## Plot frequency spectra of reflected voltage
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#ax = plt.subplot(gs1[4, 1])
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#markerline, stemlines, baseline = ax.stem(freqs[pltrange], Vrefp[pltrange], '-.')
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#plt.setp(baseline, 'linewidth', 0)
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#plt.setp(stemlines, 'color', 'r')
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#plt.setp(markerline, 'markerfacecolor', 'r', 'markeredgecolor', 'r')
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#ax.plot(freqs[pltrange], Vrefp[pltrange], 'r', lw=2)
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#ax.set_title('Reflected voltage')
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#ax.set_xlabel('Frequency [Hz]')
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#ax.set_ylabel('Power [dB]')
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#ax.grid()
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#
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## Plot reflected (reflected) current
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#ax = plt.subplot(gs1[5, 0])
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#ax.plot(time, Iref, 'b', lw=2, label='Iref')
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#ax.set_title('Reflected current')
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#ax.set_xlabel('Time [s]')
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#ax.set_ylabel('Current [A]')
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#ax.set_xlim([0, np.amax(time)])
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#ax.grid()
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#
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## Plot frequency spectra of reflected current
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#ax = plt.subplot(gs1[5, 1])
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#markerline, stemlines, baseline = ax.stem(freqs[pltrange], Irefp[pltrange], '-.')
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#plt.setp(baseline, 'linewidth', 0)
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#plt.setp(stemlines, 'color', 'b')
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#plt.setp(markerline, 'markerfacecolor', 'b', 'markeredgecolor', 'b')
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#ax.plot(freqs[pltrange], Irefp[pltrange], 'b', lw=2)
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#ax.set_title('Reflected current')
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#ax.set_xlabel('Frequency [Hz]')
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#ax.set_ylabel('Power [dB]')
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#ax.grid()
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# Figure 2
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# Plot frequency spectra of s11
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fig2, ax = plt.subplots(num='Antenna parameters', figsize=(20, 12), facecolor='w', edgecolor='w')
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gs2 = gridspec.GridSpec(2, 2, hspace=0.5)
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ax = plt.subplot(gs2[0, 0])
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markerline, stemlines, baseline = ax.stem(freqs[pltrange], s11[pltrange], '-.')
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plt.setp(baseline, 'linewidth', 0)
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plt.setp(stemlines, 'color', 'g')
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plt.setp(markerline, 'markerfacecolor', 'g', 'markeredgecolor', 'g')
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ax.plot(freqs[pltrange], s11[pltrange], 'g', lw=2)
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ax.set_title('s11')
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ax.set_xlabel('Frequency [Hz]')
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ax.set_ylabel('Power [dB]')
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#ax.set_xlim([0.88e9, 1.02e9])
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ax.set_ylim([-20, 0])
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ax.grid()
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# Plot frequency spectra of s21
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ax = plt.subplot(gs2[0, 1])
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markerline, stemlines, baseline = ax.stem(freqs[pltrange], s21[pltrange], '-.')
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plt.setp(baseline, 'linewidth', 0)
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plt.setp(stemlines, 'color', 'g')
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plt.setp(markerline, 'markerfacecolor', 'g', 'markeredgecolor', 'g')
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ax.plot(freqs[pltrange], s21[pltrange], 'g', lw=2)
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ax.set_title('s21')
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ax.set_xlabel('Frequency [Hz]')
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ax.set_ylabel('Power [dB]')
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#ax.set_xlim([0.88e9, 1.02e9])
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ax.set_ylim([-25, 50])
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ax.grid()
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# Plot input resistance (real part of impedance)
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ax = plt.subplot(gs2[1, 0])
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markerline, stemlines, baseline = ax.stem(freqs[pltrange], zin[pltrange].real, '-.')
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plt.setp(baseline, 'linewidth', 0)
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plt.setp(stemlines, 'color', 'g')
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plt.setp(markerline, 'markerfacecolor', 'g', 'markeredgecolor', 'g')
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ax.plot(freqs[pltrange], zin[pltrange].real, 'g', lw=2)
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ax.set_title('Input impedance (resistive)')
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ax.set_xlabel('Frequency [Hz]')
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ax.set_ylabel('Resistance [Ohms]')
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#ax.set_xlim([0.88e9, 1.02e9])
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ax.set_ylim(bottom=0)
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ax.set_ylim([0, 300])
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ax.grid()
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# Plot input reactance (imaginery part of impedance)
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ax = plt.subplot(gs2[1, 1])
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markerline, stemlines, baseline = ax.stem(freqs[pltrange], zin[pltrange].imag, '-.')
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plt.setp(baseline, 'linewidth', 0)
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plt.setp(stemlines, 'color', 'g')
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plt.setp(markerline, 'markerfacecolor', 'g', 'markeredgecolor', 'g')
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ax.plot(freqs[pltrange], zin[pltrange].imag, 'g', lw=2)
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ax.set_title('Input impedance (reactive)')
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ax.set_xlabel('Frequency [Hz]')
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ax.set_ylabel('Reactance [Ohms]')
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#ax.set_xlim([0.88e9, 1.02e9])
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ax.set_ylim([-200, 100])
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ax.grid()
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## Plot input admittance (magnitude)
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#ax = plt.subplot(gs2[2, 0])
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#markerline, stemlines, baseline = ax.stem(freqs[pltrange], np.abs(yin[pltrange]), '-.')
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#plt.setp(baseline, 'linewidth', 0)
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#plt.setp(stemlines, 'color', 'g')
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#plt.setp(markerline, 'markerfacecolor', 'g', 'markeredgecolor', 'g')
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#ax.plot(freqs[pltrange], np.abs(yin[pltrange]), 'g', lw=2)
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#ax.set_title('Input admittance (magnitude)')
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#ax.set_xlabel('Frequency [Hz]')
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#ax.set_ylabel('Admittance [Siemens]')
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##ax.set_xlim([0.88e9, 1.02e9])
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##ax.set_ylim([0, 0.035])
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#ax.grid()
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#
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## Plot input admittance (phase)
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#ax = plt.subplot(gs2[2, 1])
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#markerline, stemlines, baseline = ax.stem(freqs[pltrange], np.angle(yin[pltrange], deg=True), '-.')
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#plt.setp(baseline, 'linewidth', 0)
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#plt.setp(stemlines, 'color', 'g')
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#plt.setp(markerline, 'markerfacecolor', 'g', 'markeredgecolor', 'g')
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#ax.plot(freqs[pltrange], np.angle(yin[pltrange], deg=True), 'g', lw=2)
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#ax.set_title('Input admittance (phase)')
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#ax.set_xlabel('Frequency [Hz]')
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#ax.set_ylabel('Phase [degrees]')
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##ax.set_xlim([0.88e9, 1.02e9])
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##ax.set_ylim([-40, 100])
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#ax.grid()
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# Figure 3 - Comparison of numerical modelling techniques
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#fig3, ax = plt.subplots(num='FDTD vs MoM', figsize=(20, 5), facecolor='w', edgecolor='w')
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#gs3 = gridspec.GridSpec(1, 2, hspace=0.5)
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#
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## Plot input resistance (real part of impedance)
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#ax = plt.subplot(gs3[0, 0])
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#ax.plot(freqs[pltrange], zin[pltrange].real, 'g', lw=2, label='FDTD')
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#ax.plot(MoM['freqs'], MoM['zin'].real, 'r', lw=2, ls='--', label='MoM')
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#ax.set_title('Input impedance (resistive)')
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#ax.set_xlabel('Frequency [Hz]')
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#ax.set_ylabel('Resistance [Ohms]')
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##ax.set_xlim([0.88e9, 1.02e9])
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#ax.set_ylim(bottom=0)
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#ax.set_ylim([0, 350])
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#ax.grid()
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#ax.legend()
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#
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## Plot input reactance (imaginery part of impedance)
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#ax = plt.subplot(gs3[0, 1])
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#ax.plot(freqs[pltrange], zin[pltrange].imag, 'g', lw=2, label='FDTD')
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#ax.plot(MoM['freqs'], -MoM['zin'].imag, 'r', lw=2, ls='--', label='MoM')
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#ax.set_title('Input impedance (reactive)')
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#ax.set_xlabel('Frequency [Hz]')
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#ax.set_ylabel('Reactance [Ohms]')
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##ax.set_xlim([0.88e9, 1.02e9])
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#ax.set_ylim([-350, 350])
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#ax.grid()
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#ax.legend()
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# Save a PDF/PNG of the figure
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#fig1.savefig(os.path.splitext(os.path.abspath(file))[0] + '_tl_params.png', dpi=150, format='png', bbox_inches='tight', pad_inches=0.1)
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#fig2.savefig(os.path.splitext(os.path.abspath(file))[0] + '_ant_params.png', dpi=150, format='png', bbox_inches='tight', pad_inches=0.1)
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#fig3.savefig(os.path.splitext(os.path.abspath(file))[0] + '_ant_params.png', dpi=150, format='png', bbox_inches='tight', pad_inches=0.1)
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#fig1.savefig(os.path.splitext(os.path.abspath(file))[0] + '_tl_params.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1)
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#fig2.savefig(os.path.splitext(os.path.abspath(file))[0] + '_ant_params.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1)
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plt.show()
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