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Added kwargs to allow for optimisation of parameters.

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craig-warren
2020-05-18 15:56:21 +01:00
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共有 2 个文件被更改，包括 117 次插入 和 58 次删除
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146
user_libs/antennas/GSSI.py
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@@ -12,7 +12,7 @@ import gprMax
logger = logging.getLogger(__name__)
def antenna_like_GSSI_1500(x, y, z, resolution=0.001):
def antenna_like_GSSI_1500(x, y, z, resolution=0.001, **kwargs):
"""Inserts a description of an antenna similar to the GSSI 1.5GHz antenna.
Can be used with 1mm (default) or 2mm spatial resolution. The external
dimensions of the antenna are 170x108x45mm. One output point is defined
@@ -25,6 +25,8 @@ def antenna_like_GSSI_1500(x, y, z, resolution=0.001):
centre of the antenna in the x-y plane and the
bottom of the antenna skid in the z direction.
resolution (float): Spatial resolution for the antenna model.
kwargs (dict): Optional variables, e.g. can be fed from an optimisation
process.
Returns:
scene_objects (list): All model objects that will be part of a scene.
@@ -65,47 +67,68 @@ def antenna_like_GSSI_1500(x, y, z, resolution=0.001):
logger.exception('This antenna module can only be used with a spatial discretisation of 1mm or 2mm')
raise ValueError
# Specify optimisation state of antenna model
optstate = ['WarrenThesis', 'DebyeAbsorber', 'GiannakisPaper']
optstate = optstate[0]
if optstate == 'WarrenThesis':
# Original optimised values from http://hdl.handle.net/1842/4074
excitationfreq = 1.71e9
sourceresistance = 230 # Correction for old (< 123) GprMax3D bug (optimised to 4)
rxres = 925 # Resistance at Rx bowtie
absorber1 = gprMax.Material(er=1.58, se=0.428, mr=1, sm=0, id='absorber1')
absorber2 = gprMax.Material(er=3, se=0, mr=1, sm=0, id='absorber2') # Foam modelled as PCB material
pcb = gprMax.Material(er=3, se=0, mr=1, sm=0, id='pcb')
hdpe = gprMax.Material(er=2.35, se=0, mr=1, sm=0, id='hdpe')
rxres = gprMax.Material(er=3, se=(1 / rxres) * (dy / (dx * dz)), mr=1, sm=0, id='rxres')
scene_objects.extend((absorber1, absorber2, pcb, hdpe, rxres))
elif optstate == 'DebyeAbsorber':
# Same values as WarrenThesis but uses dispersive absorber properties for Eccosorb LS22
excitationfreq = 1.71e9
sourceresistance = 230 # Correction for old (< 123) GprMax3D bug (optimised to 4)
rxres = 925 # Resistance at Rx bowtie
absorber1 = gprMax.Material(er=1, se=0, mr=1, sm=0, id='absorber1')
# Eccosorb LS22 3-pole Debye model (https://bitbucket.org/uoyaeg/aegboxts/wiki/Home)
absorber1_disp = gprMax.AddDebyeDispersion(poles=3, er_delta=[3.7733, 3.14418, 20.2441],
tau=[1.00723e-11, 1.55686e-10, 3.44129e-10],
material_ids=['absorber1'])
absorber2 = gprMax.Material(er=3, se=0, mr=1, sm=0, id='absorber2') # Foam modelled as PCB material
pcb = gprMax.Material(er=3, se=0, mr=1, sm=0, id='pcb')
hdpe = gprMax.Material(er=2.35, se=0, mr=1, sm=0, id='hdpe')
rxres = gprMax.Material(er=3, se=(1 / rxres) * (dy / (dx * dz)), mr=1, sm=0, id='rxres')
scene_objects.extend((absorber1, absorber1_disp, absorber2, pcb, hdpe, rxres))
elif optstate == 'GiannakisPaper':
# Further optimised values from https://doi.org/10.1109/TGRS.2018.2869027
# If using parameters from an optimisation
try:
kwargs
absorber1Er = kwargs['absorber1Er']
absorber1sig = kwargs['absorber1sig']
absorber2Er = kwargs['absorber2Er']
absorber2sig = kwargs['absorber2sig']
pcbEr = kwargs['pcbEr']
pcbsig = kwargs['pcbsig']
hdpeEr = kwargs['hdpeEr']
hdpesig = kwargs['hdpesig']
sourceresistance = 195
absorber1 = gprMax.Material(er=3.96, se=0.31, mr=1, sm=0, id='absorber1')
absorber2 = gprMax.Material(er=1.05, se=1.01, mr=1, sm=0, id='absorber2')
pcb = gprMax.Material(er=1.37, se=0.0002, mr=1, sm=0, id='pcb')
hdpe = gprMax.Material(er=1.99, se=0.013, mr=1, sm=0, id='hdpe')
rxres = 50
absorber1 = gprMax.Material(er=absorber1Er, se=absorber1sig, mr=1, sm=0, id='absorber1')
absorber2 = gprMax.Material(er=absorber2Er, se=absorber2sig, mr=1, sm=0, id='absorber2')
pcb = gprMax.Material(er=pcbEr, se=pcbsig, mr=1, sm=0, id='pcb')
hdpe = gprMax.Material(er=hdpeEr, se=hdpesig, mr=1, sm=0, id='hdpe')
scene_objects.extend((absorber1, absorber2, pcb, hdpe))
# Otherwise choose parameters for different optimisation models
except:
# Specify optimisation model
optstate = ['WarrenThesis', 'DebyeAbsorber', 'GiannakisPaper']
optstate = optstate[0]
if optstate == 'WarrenThesis':
# Original optimised values from http://hdl.handle.net/1842/4074
excitationfreq = 1.71e9
sourceresistance = 230 # Correction for old (< 123) GprMax3D bug (optimised to 4)
rxres = 925 # Resistance at Rx bowtie
absorber1 = gprMax.Material(er=1.58, se=0.428, mr=1, sm=0, id='absorber1')
absorber2 = gprMax.Material(er=3, se=0, mr=1, sm=0, id='absorber2') # Foam modelled as PCB material
pcb = gprMax.Material(er=3, se=0, mr=1, sm=0, id='pcb')
hdpe = gprMax.Material(er=2.35, se=0, mr=1, sm=0, id='hdpe')
rxres = gprMax.Material(er=3, se=(1 / rxres) * (dy / (dx * dz)), mr=1, sm=0, id='rxres')
scene_objects.extend((absorber1, absorber2, pcb, hdpe, rxres))
elif optstate == 'DebyeAbsorber':
# Same values as WarrenThesis but uses dispersive absorber properties for Eccosorb LS22
excitationfreq = 1.71e9
sourceresistance = 230 # Correction for old (< 123) GprMax3D bug (optimised to 4)
rxres = 925 # Resistance at Rx bowtie
absorber1 = gprMax.Material(er=1, se=0, mr=1, sm=0, id='absorber1')
# Eccosorb LS22 3-pole Debye model (https://bitbucket.org/uoyaeg/aegboxts/wiki/Home)
absorber1_disp = gprMax.AddDebyeDispersion(poles=3, er_delta=[3.7733, 3.14418, 20.2441],
tau=[1.00723e-11, 1.55686e-10, 3.44129e-10],
material_ids=['absorber1'])
absorber2 = gprMax.Material(er=3, se=0, mr=1, sm=0, id='absorber2') # Foam modelled as PCB material
pcb = gprMax.Material(er=3, se=0, mr=1, sm=0, id='pcb')
hdpe = gprMax.Material(er=2.35, se=0, mr=1, sm=0, id='hdpe')
rxres = gprMax.Material(er=3, se=(1 / rxres) * (dy / (dx * dz)), mr=1, sm=0, id='rxres')
scene_objects.extend((absorber1, absorber1_disp, absorber2, pcb, hdpe, rxres))
elif optstate == 'GiannakisPaper':
# Further optimised values from https://doi.org/10.1109/TGRS.2018.2869027
sourceresistance = 195
absorber1 = gprMax.Material(er=3.96, se=0.31, mr=1, sm=0, id='absorber1')
absorber2 = gprMax.Material(er=1.05, se=1.01, mr=1, sm=0, id='absorber2')
pcb = gprMax.Material(er=1.37, se=0.0002, mr=1, sm=0, id='pcb')
hdpe = gprMax.Material(er=1.99, se=0.013, mr=1, sm=0, id='hdpe')
scene_objects.extend((absorber1, absorber2, pcb, hdpe))
# Antenna geometry
# Plastic case
b1 = gprMax.Box(p1=(x, y, z + skidthickness),
@@ -272,14 +295,18 @@ def antenna_like_GSSI_1500(x, y, z, resolution=0.001):
# Excitation
if optstate == 'WarrenThesis' or optstate == 'DebyeAbsorber':
# Gaussian pulse
w1 = gprMax.Waveform(wave_type='gaussian', amp=1, freq=excitationfreq, id='my_gaussian')
vs1 = gprMax.VoltageSource(polarisation='y', p1=(tx[0], tx[1], tx[2]), resistance=sourceresistance, waveform_id='my_gaussian')
w1 = gprMax.Waveform(wave_type='gaussian', amp=1,
freq=excitationfreq, id='my_gaussian')
vs1 = gprMax.VoltageSource(polarisation='y', p1=(tx[0], tx[1], tx[2]),
resistance=sourceresistance, waveform_id='my_gaussian')
scene_objects.extend((w1, vs1))
elif optstate == 'GiannakisPaper':
# Optimised custom pulse
exc1 = gprMax.ExcitationFile(filepath='../user_libs/antennas/GSSI1p5optpulse.txt', kind='linear', fill_value='extrapolate')
vs1 = gprMax.VoltageSource(polarisation='y', p1=(tx[0], tx[1], tx[2]), resistance=sourceresistance, waveform_id='GSSI1p5optpulse')
exc1 = gprMax.ExcitationFile(filepath='../user_libs/antennas/GSSI1p5optpulse.txt',
kind='linear', fill_value='extrapolate')
vs1 = gprMax.VoltageSource(polarisation='y', p1=(tx[0], tx[1], tx[2]),
resistance=sourceresistance, waveform_id='GSSI1p5optpulse')
scene_objects.extend((exc1, vs1))
# Output point - receiver bowtie
@@ -306,7 +333,7 @@ def antenna_like_GSSI_1500(x, y, z, resolution=0.001):
return scene_objects
def antenna_like_GSSI_400(x, y, z, resolution=0.001):
def antenna_like_GSSI_400(x, y, z, resolution=0.001, **kwargs):
"""Inserts a description of an antenna similar to the GSSI 400MHz antenna.
Can be used with 0.5mm, 1mm (default) or 2mm spatial resolution.
The external dimensions of the antenna are 300x300x178mm.
@@ -315,8 +342,13 @@ def antenna_like_GSSI_400(x, y, z, resolution=0.001):
of the electric field.
Args:
x, y, z (float): Coordinates of a location in the model to insert the antenna. Coordinates are relative to the geometric centre of the antenna in the x-y plane and the bottom of the antenna skid in the z direction.
x, y, z (float): Coordinates of a location in the model to insert the
antenna. Coordinates are relative to the geometric
centre of the antenna in the x-y plane and the
bottom of the antenna skid in the z direction.
resolution (float): Spatial resolution for the antenna model.
kwargs (dict): Optional variables, e.g. can be fed from an optimisation
process.
Returns:
scene_objects (list): All model objects that will be part of a scene.
@@ -338,16 +370,28 @@ def antenna_like_GSSI_400(x, y, z, resolution=0.001):
metalmiddleplateheight = 0.11
smooth_dec = 'yes' # choose to use dielectric smoothing or not
src_type = 'voltage_source' # # source type. "voltage_source" or "transmission_line"
excitationfreq = 0.39239891e9 # GHz
sourceresistance = 111.59927 # Ohms
receiverresistance = sourceresistance # Ohms
absorberEr = 1.1
absorbersig = 0.062034689
src_type = 'voltage_source' # source type. "voltage_source" or "transmission_line"
pcber = 2.35
hdper = 2.35
skidthickness = 0.01
# If using parameters from an optimisation
try:
kwargs
excitationfreq = kwargs['excitationfreq']
sourceresistance = kwargs['sourceresistance']
receiverresistance = sourceresistance
absorberEr = kwargs['absorberEr']
absorbersig = kwargs['absorbersig']
# Otherwise choose pre-set optimised parameters
except:
excitationfreq = 0.39239891e9 # GHz
sourceresistance = 111.59927 # Ohms
receiverresistance = sourceresistance # Ohms
absorberEr = 1.1
absorbersig = 0.062034689 # S/m
x = x - (casesize[0] / 2)
y = y - (casesize[1] / 2)

29
user_libs/antennas/MALA.py
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@@ -12,7 +12,7 @@ import gprMax
logger = logging.getLogger(__name__)
def antenna_like_MALA_1200(x, y, z, resolution=0.001):
def antenna_like_MALA_1200(x, y, z, resolution=0.001, **kwargs):
"""Inserts a description of an antenna similar to the MALA 1.2GHz antenna.
Can be used with 1mm (default) or 2mm spatial resolution.
The external dimensions of the antenna are 184x109x46mm.
@@ -21,8 +21,13 @@ def antenna_like_MALA_1200(x, y, z, resolution=0.001):
of the electric field (x component if the antenna is rotated 90 degrees).
Args:
x, y, z (float): Coordinates of a location in the model to insert the antenna. Coordinates are relative to the geometric centre of the antenna in the x-y plane and the bottom of the antenna skid in the z direction.
x, y, z (float): Coordinates of a location in the model to insert the
antenna. Coordinates are relative to the geometric
centre of the antenna in the x-y plane and the
bottom of the antenna skid in the z direction.
resolution (float): Spatial resolution for the antenna model.
kwargs (dict): Optional variables, e.g. can be fed from an optimisation
process.
Returns:
scene_objects (list): All model objects that will be part of a scene.
@@ -42,11 +47,21 @@ def antenna_like_MALA_1200(x, y, z, resolution=0.001):
skidthickness = 0.006
bowtieheight = 0.025
# Original optimised values from http://hdl.handle.net/1842/4074
excitationfreq = 0.978e9
sourceresistance = 1000
absorberEr = 6.49
absorbersig = 0.252
# If using parameters from an optimisation
try:
kwargs
excitationfreq = kwargs['excitationfreq']
sourceresistance = kwargs['sourceresistance']
absorberEr = kwargs['absorberEr']
absorbersig = kwargs['absorbersig']
# Otherwise choose pre-set optimised parameters
except:
# Original optimised values from http://hdl.handle.net/1842/4074
excitationfreq = 0.978e9
sourceresistance = 1000
absorberEr = 6.49
absorbersig = 0.252
x = x - (casesize[0] / 2)
y = y - (casesize[1] / 2)