def testing_sp3(gpstime, sp3, systemsatlists, obsdata, obstypes, prntoidx,
year, month, day, emin, emax, outputfile, up, East, North,
recv, dec_rate, log):
"""
inputs are gpstime( numpy array with week and sow)
sp3 is what has been read from the sp3 file
columsn are satNu, week, sow, x, y, z (in meters)
log is for comments
"""
checkD = False
if dec_rate > 0:
checkD = True
log.write('You are decimating \n')
# epoch at the beginning of the day of your RINEX file
gweek0, gpssec0 = g.kgpsweek(year, month, day, 0, 0, 0)
ll = 'quadratic'
# will store in this variable, then sort it before writing out to a file
saveit = np.empty(shape=[0, 11])
fout = open(outputfile, 'w+')
NsatT = 0
# make a dictionary for constellation name
sname = {}
sname['G'] = 'GPS'
sname['R'] = 'GLONASS'
sname['E'] = 'GALILEO'
sname['C'] = 'BEIDOU'
for con in ['G', 'E', 'R', 'C']:
if con in obstypes:
satL = len(systemsatlists[con][:])
satS = 'Processing ' + sname[con]
with Bar(satS, max=satL, fill='@', suffix='%(percent)d%%') as bar:
log.write(
'Good news - found data for constellation {0:s} \n'.format(
con))
obslist = obstypes[con][:]
satlist = systemsatlists[con][:]
for prn in satlist:
bar.next()
addon = g.findConstell(
con) # 100,200,or 300 for R,E, and C
log.write(
'Constellation {0:1s} Satellite {1:2.0f} Addon {2:3.0f} \n'
.format(con, prn, addon))
# window out the data for this satellite
m = sp3[:, 0] == prn + addon
x = sp3[m, 3]
if len(x) > 0:
sp3_week = sp3[m, 1]
sp3_sec = sp3[m, 2]
x = sp3[m, 3]
y = sp3[m, 4]
z = sp3[m, 5]
# fit the orbits for this satellite
t = sp3_sec
iX = interp1d(t,
x,
ll,
bounds_error=False,
fill_value='extrapolate')
iY = interp1d(t,
y,
ll,
bounds_error=False,
fill_value='extrapolate')
iZ = interp1d(t,
z,
ll,
bounds_error=False,
fill_value='extrapolate')
# get the S1 data for this satellite
if 'S1' in obslist:
s1 = obsdata[con]['S1'][:, prntoidx[con][prn]]
# indices when there are no data for this satellite
ij = np.isnan(s1)
# indices when there are data in the RINEX file - this way you do not compute
# orbits unless there are data.
not_ij = np.logical_not(ij)
Tp = gpstime[
not_ij,
1] # only use the seconds of the week for now
s1 = s1[not_ij]
#print(s1.shape)
emp = np.zeros(shape=[len(s1), 1], dtype=float)
# get the rest of the SNR data in a function
s2, s5, s6, s7, s8 = extract_snr(
prn, con, obslist, obsdata, prntoidx, not_ij, emp)
# make sure there are no nan values in s2 or s5
nepochs = len(Tp)
for ij in range(0, nepochs):
TT = 0 # default value
if checkD:
TT = Tp[ij] % dec_rate # get the modulus
if TT == 0:
SatOrb = satorb_prop_sp3(
iX, iY, iZ, recv, Tp, ij)
r = np.subtract(SatOrb, recv)
azimA = g.azimuth_angle(r, East, North)
eleA = g.elev_angle(up, r) * 180 / np.pi
if (eleA >= emin) and (eleA <= emax):
fout.write(
"{0:3.0f} {1:10.4f} {2:10.4f} {3:10.0f} {4:7.2f} {5:7.2f} {6:7.2f} {7:7.2f} {8:7.2f} {9:7.2f} {10:7.2f} \n"
.format(prn + addon, eleA, azimA,
Tp[ij] - gpssec0, 0,
float(s6[ij]), s1[ij],
float(s2[ij]), float(s5[ij]),
float(s6[ij]), float(s7[ij])))
else:
log.write(
'This satellite is not in the orbit file. {0:3.0f} \n'
.format(prn))
else:
log.write('No data for constellation {0:1s} \n'.format(con))
log.write('write SNR data to file \n')
fout.close()
def test_sp3(gpstime, sp3, systemsatlists, obsdata, obstypes, prntoidx, year,
month, day, emin, emax, outputfile, up, East, North, recv,
dec_rate):
"""
inputs are gpstime( numpy array with week and sow)
sp3 is what has been read from the sp3 file
columsn are satNu, week, sow, x, y, z (in meters)
"""
checkD = False
if dec_rate > 0:
checkD = True
print('decimating')
# epoch at the beginning of the day of your RINEX file
gweek0, gpssec0 = g.kgpsweek(year, month, day, 0, 0, 0)
ll = 'quadratic'
# will store in this variable, then sort it before writing out to a file
saveit = np.empty(shape=[0, 11])
fout = open(outputfile, 'w+')
for con in ['G', 'E', 'R', 'C']:
if con in obstypes:
print('good news - found data for constellation ', con)
obslist = obstypes[con][:]
satlist = systemsatlists[con][:]
print(satlist)
for prn in satlist:
addon = g.findConstell(con) # 100,200,or 300 for R,E, and C
print('Constellation ', con, ' satellite ', prn, addon)
# window out the data for this satellite
m = sp3[:, 0] == prn + addon
x = sp3[m, 3]
if len(x) > 0:
sp3_week = sp3[m, 1]
sp3_sec = sp3[m, 2]
x = sp3[m, 3]
y = sp3[m, 4]
z = sp3[m, 5]
# fit the orbits for this satellite
t = sp3_sec
iX = interp1d(t,
x,
ll,
bounds_error=False,
fill_value='extrapolate')
iY = interp1d(t,
y,
ll,
bounds_error=False,
fill_value='extrapolate')
iZ = interp1d(t,
z,
ll,
bounds_error=False,
fill_value='extrapolate')
# get the S1 data for this satellite
if 'S1' in obslist:
s1 = obsdata[con]['S1'][:, prntoidx[con][prn]]
# indices when there are no data for this satellite
ij = np.isnan(s1)
# indices when there are data in the RINEX file - this way you do not compute
# orbits unless there are data.
not_ij = np.logical_not(ij)
Tp = gpstime[not_ij,
1] # only use the seconds of the week for now
s1 = s1[not_ij]
#print(s1.shape)
emp = np.zeros(shape=[len(s1), 1], dtype=float)
# get the rest of the SNR data in a function
s2, s5, s6, s7, s8 = extract_snr(prn, con, obslist,
obsdata, prntoidx, not_ij,
emp)
# make sure there are no nan values in s2 or s5
nepochs = len(Tp)
for ij in range(0, nepochs):
TT = 0 # default value
if checkD:
TT = Tp[ij] % dec_rate # get the modulus
if TT == 0:
SatOrb = satorb_prop_sp3(iX, iY, iZ, recv, Tp, ij)
r = np.subtract(SatOrb, recv)
azimA = g.azimuth_angle(r, East, North)
eleA = g.elev_angle(up, r) * 180 / np.pi
if (eleA >= emin) and (eleA <= emax):
fout.write(
"{0:3.0f} {1:10.4f} {2:10.4f} {3:10.0f} {4:7.2f} {5:7.2f} {6:7.2f} {7:7.2f} {8:7.2f} {9:7.2f} {10:7.2f} \n"
.format(prn + addon, eleA,
azimA, Tp[ij] - gpssec0, 0,
float(s6[ij]), s1[ij],
float(s2[ij]), float(s5[ij]),
float(s6[ij]), float(s7[ij])))
else:
print('this satellite is not in the orbit file.', prn)
else:
print('no data for constellation ', con)
# print('sort by time')
# tried saving to variable but it was very slow
#ne = np.array([prn,eleA,azimA,Tp[ij],0,0,s1[ij],s2[ij],s5[ij],0,0])
#saveit = np.vstack((saveit,ne))
#i = np.argsort(saveit[:,3])
# apply that sort to variable with shorter name
#s = saveit[i,:]
print('write to file')
fout.close()