def test_planar4():
bp = alib.planar_beam(0.0,
45.0,
60,
10,
az1=0.0,
el1=90.0,
a0=40.0,
I_0=10**4.3,
f=230e6)
for phased_el in n.linspace(3, 90, num=10):
bp.point(0.0, phased_el)
gains = []
els = n.linspace(0.0, 90.0, num=1000)
for ei, e in enumerate(els):
k = coord.azel_ecef(60.0, 10.0, 0.0, 0.0, e)
g = bp.gain(k)
gains.append(g)
gains = n.array(gains)
plt.plot(els, 10.0 * n.log10(gains), label="el=%1.2f" % (phased_el))
plt.ylim([0, 50])
plt.axvline(phased_el, color="black")
plt.legend()
plt.xlabel("Elevation angle (deg)")
plt.ylabel("Gain (dB)")
plt.title("Planar array gain as a function of pointing direction")
plt.show()
def test_planar2():
el_phase = 30.0
az_phase = 40.0
B = n.zeros([500, 500])
els = n.linspace(0, 90, num=500)
azs = n.linspace(0, 360, num=500)
bp = alib.planar_beam(az_phase,
el_phase,
60,
19,
az1=0.0,
el1=90.0,
a0=16.0,
I_0=10**4.3,
f=230e6)
for ei, e in enumerate(els):
for ai, a in enumerate(azs):
k = coord.azel_ecef(60.0, 19.0, 0.0, a, e)
B[ei, ai] = bp.gain(k)
dB = 10.0 * n.log10(B)
m = n.max(dB)
plt.pcolormesh(azs, els, 10.0 * n.log10(B), vmin=m - 20.0, vmax=m)
plt.axhline(el_phase)
plt.axvline(az_phase)
plt.colorbar()
plt.show()
def plot_compare_library_beams():
min_el = 80
e3d = alib.e3d_array_beam(az0=0.0, el0=90.0, I_0=10**4.3)
bp1 = alib.airy_beam(az0=0.0,
el0=90.0,
lat=60,
lon=19,
f=233e6,
I_0=10**4.3,
a=40.0)
bp2 = alib.cassegrain_beam(az0=0.0,
el0=90.0,
lat=60,
lon=19,
f=233e6,
I_0=10**4.3,
a0=80.0,
a1=80.0 / 16.0 * 2.29)
bp3 = alib.planar_beam(az0=0.0,
el0=90.0,
lat=60,
lon=19,
f=233e6,
I_0=10**4.3,
a0=40.0,
az1=0,
el1=90.0)
antenna.plot_gains([bp1, bp2, bp3, e3d], min_el=min_el)
def plot_beams():
min_el = 80.0
bp = alib.airy_beam(90.0, 90, 60, 19, f=930e6, I_0=10**4.3, a=16.0)
gains = []
els = n.linspace(min_el, 90.0, num=1000)
for a in els:
k = coord.azel_ecef(60.0, 19.0, 0.0, 90, a)
gains.append(bp.gain(k))
gains = n.array(gains)
plt.plot(els, 10.0 * n.log10(gains), label="airy")
bp = alib.cassegrain_beam(90.0,
90,
60,
19,
f=930e6,
I_0=10**4.3,
a0=16.0,
a1=4.58)
gains = []
for a in els:
k = coord.azel_ecef(60.0, 19.0, 0.0, 90, a)
gains.append(bp.gain(k))
gains = n.array(gains)
plt.plot(els, 10.0 * n.log10(gains), label="cassegrain")
bp = alib.planar_beam(0,
90.0,
60,
19,
I_0=10**4.3,
f=233e6,
a0=40.0,
az1=0,
el1=90.0)
gains = []
for a in els:
k = coord.azel_ecef(60.0, 19.0, 0.0, 90, a)
gains.append(bp.gain(k))
gains = n.array(gains)
plt.plot(els, 10.0 * n.log10(gains), label="planar")
plt.ylim([0, 50])
plt.legend()
plt.show()
def test_planar3():
S = n.zeros([100, 200])
el_phase = 90.0
bp = alib.planar_beam(0,
el_phase,
60,
19.0,
az1=0.0,
el1=el_phase,
a0=16.0,
I_0=10**4.3,
f=230e6)
els = n.linspace(0, 90, num=100)
azs = n.linspace(0, 360, num=200)
for ei, e in enumerate(n.linspace(0, 90, num=100)):
for ai, a in enumerate(n.linspace(0, 360, num=200)):
k = coord.azel_ecef(60.0, 19.0, 0.0, a, e)
S[ei, ai] = bp.gain(k)
plt.pcolormesh(azs, els, 10.0 * n.log10(S), vmin=0, vmax=100)
plt.axvline(el_phase)
plt.colorbar()
plt.show()
#SORTS Libraries
import radar_library as rl
import radar_scan_library as rslib
import scheduler_library as sch
import antenna_library as alib
sim_root = '/home/danielk/IRF/E3D_PA/SORTSpp_sim/mov_test_v2'
#initialize the radar setup
e3d = rl.eiscat_3d()
e3d.set_FOV(max_on_axis=25.0,horizon_elevation=30.0)
e3d.set_SNR_limits(min_total_SNRdb=10.0,min_pair_SNRdb=0.0)
e3d.set_TX_bandwith(bw = 1.0e6)
e3d.set_beam('TX', alib.planar_beam(az0 = 0.0,el0 = 90.0,lat = 60,lon = 19,f=233e6,I_0=10**4.2,a0=40.0,az1=0,el1=90.0) )
e3d.set_beam('RX', alib.planar_beam(az0 = 0.0,el0 = 90.0,lat = 60,lon = 19,f=233e6,I_0=10**4.5,a0=40.0,az1=0,el1=90.0) )
#initialize the observing mode
e3d_scan = rslib.ns_fence_rng_model(min_el = 30.0, angle_step = 2.0, dwell_time = 0.1)
e3d_scan.set_radar_location(e3d)
e3d.set_scan(e3d_scan)
#load the input population
pop = p.filtered_master_catalog_factor(e3d,treshhold=1e-2,seed=12345,filter_name='e3d_planar_beam')
pop._objs = pop._objs[:2000,:]
sim = s.simulation( \
radar = e3d,\
population = pop,\
sim_root = '/home/danielk/IRF/E3D_PA/SORTSpp_sim/sim_dev_sched_2scan'
#initialize the radar setup
e3d = rl.eiscat_3d()
e3d.set_FOV(max_on_axis=25.0, horizon_elevation=30.0)
e3d.set_SNR_limits(min_total_SNRdb=2.0, min_pair_SNRdb=1.0)
e3d.set_TX_bandwith(bw=1.0e6)
e3d.set_beam(
'TX',
alib.planar_beam(az0=0.0,
el0=90.0,
lat=60,
lon=19,
f=233e6,
I_0=10**4.2,
a0=40.0,
az1=0,
el1=90.0))
e3d.set_beam(
'RX',
alib.planar_beam(az0=0.0,
el0=90.0,
lat=60,
lon=19,
f=233e6,
I_0=10**4.5,
a0=40.0,
az1=0,
el1=90.0))
plt.show()
exit()
beams = [
alib.e3d_array_beam_interp(az0=0, el0=el, I_0=10**4.5)
for el in np.linspace(90.0, 30.0, num=4)
]
antenna.plot_gains(beams,res=1000,min_el = 0.0)
plt.show()
exit()
beams = [
alib.planar_beam(az0=0., el0=90., I_0=4.5**10, f=366e6, a0=40., az1=0., el1=90.),
alib.cassegrain_beam(az0=0., el0=90., I_0=4.5**10, f=940e6, a0=40., a1=20.),
alib.uhf_beam(az0=0., el0=90., I_0=4.5**10, f=266e6),
alib.e3d_array_beam_stage1(az0=0, el0=90.0, I_0=10**4.2),
alib.e3d_array_beam_stage1(az0=0, el0=90.0, I_0=10**4.2, opt='sparse'),
alib.e3d_array_beam(az0=0, el0=90.0, I_0=10**4.5),
]
#test for peak gain on axis is max
#test for lambda 3db loss
for beam in beams:
plot_gain_heatmap(beam, res=100, min_el = 75.)
plt.show()
def time_compare_library_beams():
e3d = alib.e3d_array_beam(az0=0.0, el0=90.0, I_0=10**4.3)
bp1 = alib.airy_beam(az0=0.0,
el0=90.0,
lat=60,
lon=19,
f=233e6,
I_0=10**4.3,
a=40.0)
bp2 = alib.cassegrain_beam(az0=0.0,
el0=90.0,
lat=60,
lon=19,
f=233e6,
I_0=10**4.3,
a0=80.0,
a1=80.0 / 16.0 * 2.29)
bp3 = alib.planar_beam(az0=0.0,
el0=90.0,
lat=60,
lon=19,
f=233e6,
I_0=10**4.3,
a0=40.0,
az1=0,
el1=90.0)
import time
k = coord.azel_ecef(e3d.lat, e3d.lon, 0.0, 0, 87.0)
test_n = 500
t = n.zeros((test_n, 4))
for i in range(test_n):
t0 = time.clock()
g = e3d.gain(k)
t[i, 0] = time.clock() - t0
t0 = time.clock()
g = bp1.gain(k)
t[i, 1] = time.clock() - t0
t0 = time.clock()
g = bp2.gain(k)
t[i, 2] = time.clock() - t0
t0 = time.clock()
g = bp3.gain(k)
t[i, 3] = time.clock() - t0
print('Exec time %s: mean %.5f s, std %.5f s' % (
e3d.beam_name,
n.mean(t[:, 0]),
n.std(t[:, 0]),
))
print('Exec time %s: mean %.5f s, std %.5f s' % (
bp1.beam_name,
n.mean(t[:, 1]),
n.std(t[:, 1]),
))
print('Exec time %s: mean %.5f s, std %.5f s' % (
bp2.beam_name,
n.mean(t[:, 2]),
n.std(t[:, 2]),
))
print('Exec time %s: mean %.5f s, std %.5f s' % (
bp3.beam_name,
n.mean(t[:, 3]),
n.std(t[:, 3]),
))
print('Exec time %s vs %s: mean %.5f, std %.5f' % (
e3d.beam_name,
bp3.beam_name,
n.mean(t[:, 0]) / n.mean(t[:, 3]),
n.std(t[:, 0]) / n.std(t[:, 3]),
))
def eiscat_3d(beam='interp', stage=1):
'''The EISCAT_3D system.
For more information see:
* `EISCAT <https://eiscat.se/>`_
* `EISCAT 3D <https://www.eiscat.se/eiscat3d/>`_
:param str beam: Decides what initial antenna radiation-model to use.
:param int stage: The stage of development of EISCAT 3D.
**EISCAT 3D Stages:**
* Stage 1: As of writing it is assumed to have all of the antennas in place but only transmitters on half of the antennas in a dense core ,i.e. TX will have 42 dB peak gain while RX still has 45 dB peak gain. 3 Sites will exist, one is a TX and RX, the other 2 RX sites.
* Stage 2: Both TX and RX sites will have 45 dB peak gain.
* Stage 3: (NOT IMPLEMENTED HERE) 2 additional RX sites will be added.
**Beam options:**
* gauss: Gaussian tapered beam model :func:`antenna_library.planar_beam`.
* interp: Interpolated array pattern.
* array: Ideal summation of all antennas in the array :func:`antenna_library.e3d_array_beam_stage1` and :func:`antenna_library.e3d_array_beam`.
# TODO: Geographical location measured with? Probably WGS84.
'''
e3d_freq = 233e6
if stage == 1:
e3d_tx_gain = 10**4.3
a0_tx = 20.0
elif stage == 2:
e3d_tx_gain = 10**4.5
a0_tx = 40.0
else:
raise Exception('Stage "{}" not recognized.'.format(stage))
e3d_rx_gain = 10**4.5
if beam == 'gauss':
tx_beam_ski = alib.planar_beam(
az0=0,
el0=90,
I_0=e3d_tx_gain,
f=e3d_freq,
a0=a0_tx,
az1=0.0,
el1=90.0,
)
rx_beam_ski = alib.planar_beam(
az0=0,
el0=90,
I_0=e3d_rx_gain,
f=e3d_freq,
a0=40.0,
az1=0.0,
el1=90.0,
)
rx_beam_kar = alib.planar_beam(
az0=0,
el0=90,
I_0=e3d_rx_gain,
f=e3d_freq,
a0=40.0,
az1=0.0,
el1=90.0,
)
rx_beam_kai = alib.planar_beam(
az0=0,
el0=90,
I_0=e3d_rx_gain,
f=e3d_freq,
a0=40.0,
az1=0.0,
el1=90.0,
)
elif beam == 'array':
if stage == 1:
tx_beam_ski = alib.e3d_array_beam_stage1(
az0=0,
el0=90,
I_0=e3d_tx_gain,
opt='dense',
)
elif stage == 2:
tx_beam_ski = alib.e3d_array_beam(
az0=0,
el0=90,
I_0=e3d_tx_gain,
)
rx_beam_ski = alib.e3d_array_beam(
az0=0,
el0=90,
I_0=e3d_rx_gain,
)
rx_beam_kar = alib.e3d_array_beam(
az0=0,
el0=90,
I_0=e3d_rx_gain,
)
rx_beam_kai = alib.e3d_array_beam(
az0=0,
el0=90,
I_0=e3d_rx_gain,
)
elif beam == 'interp':
if stage == 1:
tx_beam_ski = alib.e3d_array_beam_stage1_dense_interp(
az0=0,
el0=90,
I_0=e3d_tx_gain,
)
elif stage == 2:
tx_beam_ski = alib.e3d_array_beam_interp(
az0=0,
el0=90,
I_0=e3d_tx_gain,
)
rx_beam_ski = alib.e3d_array_beam_interp(
az0=0,
el0=90,
I_0=e3d_rx_gain,
)
rx_beam_kar = alib.e3d_array_beam_interp(
az0=0,
el0=90,
I_0=e3d_rx_gain,
)
rx_beam_kai = alib.e3d_array_beam_interp(
az0=0,
el0=90,
I_0=e3d_rx_gain,
)
else:
raise Exception('Beam model "{}" not recognized.'.format(beam))
ski_lat = 69.34023844
ski_lon = 20.313166
ski_alt = 0.0
ski = antenna.AntennaRX(
name="Skibotn",
lat=ski_lat,
lon=ski_lon,
alt=ski_alt,
el_thresh=30,
freq=e3d_freq,
rx_noise=150,
beam=rx_beam_ski,
)
dwell_time = 0.1
scan = rslib.ew_fence_model(
lat=ski_lat,
lon=ski_lon,
alt=ski_alt,
min_el=30,
angle_step=1.0,
dwell_time=dwell_time,
)
ski_tx = antenna.AntennaTX(
name="Skibotn TX",
lat=ski_lat,
lon=ski_lon,
alt=ski_alt,
el_thresh=30,
freq=e3d_freq,
rx_noise=150,
beam=tx_beam_ski,
scan=scan,
tx_power=5e6, # 5 MW
tx_bandwidth=100e3, # 100 kHz tx bandwidth
duty_cycle=0.25, # 25% duty-cycle
pulse_length=1920e-6,
ipp=10e-3,
n_ipp=int(dwell_time / 10e-3),
)
kar_lat = 68.463862
kar_lon = 22.458859
kar_alt = 0.0
kar = antenna.AntennaRX(
name="Karesuvanto",
lat=kar_lat,
lon=kar_lon,
alt=kar_alt,
el_thresh=30,
freq=e3d_freq,
rx_noise=150,
beam=rx_beam_kar,
)
kai_lat = 68.148205
kai_lon = 19.769894
kai_alt = 0.0
kai = antenna.AntennaRX(
name="Kaiseniemi",
lat=kai_lat,
lon=kai_lon,
alt=kai_alt,
el_thresh=30,
freq=e3d_freq,
rx_noise=150,
beam=rx_beam_kai,
)
# define transmit and receive antennas for a radar network.
tx = [ski_tx]
rx = [ski, kar, kai]
if stage > 1:
name = 'EISCAT 3D stage {}'.format(stage)
else:
name = 'EISCAT 3D'
e3d = RadarSystem(
tx_lst=tx,
rx_lst=rx,
name=name,
max_on_axis=15.0,
min_SNRdb=1.0,
)
e3d.set_SNR_limits(10.0, 10.0)
return e3d
def mock_radar():
lat = 90.0
lon = 0.0
alt = 0.0
rx_beam = alib.planar_beam(
az0=0,
el0=90,
I_0=10**4.5,
f=233e6,
a0=40,
az1=0.0,
el1=90.0,
)
tx_beam = alib.planar_beam(
az0=0,
el0=90,
I_0=10**4.5,
f=233e6,
a0=40,
az1=0.0,
el1=90.0,
)
rx = antenna.AntennaRX(
name="Top",
lat=lat,
lon=lon,
alt=alt,
el_thresh=30,
freq=233e6,
rx_noise=120,
beam=rx_beam,
)
scan = rslib.beampark_model(
az=0.0,
el=90.0,
lat=lat,
lon=lon,
alt=alt,
)
tx = antenna.AntennaTX(
name="Top TX",
lat=lat,
lon=lon,
alt=alt,
el_thresh=30,
freq=233e6,
rx_noise=120,
beam=tx_beam,
scan=scan,
tx_power=5.0e6,
tx_bandwidth=1e6, # 1 MHz
duty_cycle=0.25,
pulse_length=30.0 * 64.0 * 1e-6,
ipp=20e-3,
n_ipp=10.0,
)
tx = [tx]
rx = [rx]
Mock = RadarSystem(tx, rx, 'Mock radar')
Mock.set_FOV(max_on_axis=90.0, horizon_elevation=0.0)
return Mock
def mock_radar_mult():
lat = [85.0, 89.0, 90.0, 89.0, 85.0]
lon = [0, 90.0, 0, 270.0, 180]
alt = 0.0
tx_l = []
rx_l = []
for ind in range(5):
rx_beam = alib.planar_beam(
az0=0,
el0=90,
I_0=10**4.5,
f=233e6,
a0=40,
az1=0.0,
el1=90.0,
)
rx = antenna.AntennaRX(
name="Top",
lat=lat[ind],
lon=lon[ind],
alt=alt,
el_thresh=30,
freq=233e6,
rx_noise=120,
beam=rx_beam,
)
rx_l.append(rx)
lat = [90.0, 87.0]
lon = [0, 0.0]
for ind in range(2):
tx_beam = alib.planar_beam(
az0=0,
el0=90,
I_0=10**4.5,
f=233e6,
a0=40,
az1=0.0,
el1=90.0,
)
scan = rslib.beampark_model(
az=0.0,
el=90.0,
lat=lat[ind],
lon=lon[ind],
alt=alt,
)
tx = antenna.AntennaTX(
name="Top TX",
lat=lat[ind],
lon=lon[ind],
alt=alt,
el_thresh=30,
freq=233e6,
rx_noise=120,
beam=tx_beam,
scan=scan,
tx_power=5.0e6,
tx_bandwidth=1e6, # 1 MHz
duty_cycle=0.25,
pulse_length=30.0 * 64.0 * 1e-6,
ipp=20e-3,
n_ipp=10.0,
)
tx_l.append(tx)
Mock = RadarSystem(tx_l, rx_l, 'bIG Mock radar')
Mock.set_FOV(max_on_axis=90.0, horizon_elevation=0.0)
return Mock
