def rinex3nav_data(filename, prn):
header, data = gpstk.readRinex3Nav(filename)
sat = gpstk.SatID(prn, gpstk.SatID.systemGPS)
g = gpstk.GPSEphemerisStore()
for d in data:
if prn == d.PRNID:
ephem = d.toEngEphemeris()
g.addEphemeris(ephem)
class rinex3nav_holder:
def __init__(self, gpsStore, satStore):
self.gpsStore = gpsStore
self.satStore = satStore
def first_time(self):
return self.gpsStore.getInitialTime()
def last_time(self):
return self.gpsStore.getFinalTime()
def position(self, t):
triple = self.gpsStore.getXvt(self.satStore, t).getPos()
return triple2Position(triple)
return rinex3nav_holder(g, sat)
def test_stream(self):
header, data = gpstk.readRinex3Nav('rinex3nav_data.txt', strict=True)
self.assertEqual('06/10/2004 00:00:26', header.date)
self.assertEqual(166, len(data))
dataPoint = data[165]
self.assertAlmostEqual(5153.72985268, dataPoint.Ahalf)
self.assertEqual(432000.0, dataPoint.Toc)
# checks converstion to Engineering ephemeris and getting a xvt from it
eng = dataPoint.toEngEphemeris()
xvt = eng.svXvt(eng.getTransmitTime())
self.assertAlmostEqual(4793694.728073199, xvt.x[0])
self.assertAlmostEqual(2028.248716131878, xvt.v[1])
def test_stream(self):
header, data = gpstk.readRinex3Nav('rinex3nav_data.txt', strict=True)
self.assertEqual('06/10/2004 00:00:26', header.date)
self.assertEqual(166, len(data))
dataPoint = data[165]
self.assertAlmostEqual(5153.72985268, dataPoint.Ahalf)
self.assertEqual(432000.0, dataPoint.Toc)
# checks converstion to Engineering ephemeris and getting a xvt from it
eng = dataPoint.toEngEphemeris()
xvt = eng.svXvt(eng.getTransmitTime())
self.assertAlmostEqual(4793694.728073199, xvt.x[0])
self.assertAlmostEqual(2028.248716131878, xvt.v[1])
def rinex3nav_data(filename, prn):
header, data = gpstk.readRinex3Nav(filename)
sat = gpstk.SatID(prn, gpstk.SatID.systemGPS)
g = gpstk.GPSEphemerisStore()
for d in data:
if prn == d.PRNID:
ephem = d.toEngEphemeris()
g.addEphemeris(ephem)
class rinex3nav_holder:
def __init__(self, gpsStore, satStore):
self.gpsStore = gpsStore
self.satStore = satStore
def first_time(self):
return self.gpsStore.getInitialTime()
def last_time(self):
return self.gpsStore.getFinalTime()
def position(self, t):
triple = self.gpsStore.getXvt(self.satStore, t).getPos()
return triple2Position(triple)
return rinex3nav_holder(g, sat)
def main():
parser = argparse.ArgumentParser()
parser.add_argument('rinex3obs_filename')
parser.add_argument('rinex3nav_filename')
parser.add_argument('-m', '--rinexmet_filename')
args = parser.parse_args()
# Declaration of objects for storing ephemerides and handling RAIM
bcestore = gpstk.GPSEphemerisStore()
raimSolver = gpstk.PRSolution2()
# Object for void-type tropospheric model (in case no meteorological
# RINEX is available)
noTropModel = gpstk.ZeroTropModel()
# Object for GG-type tropospheric model (Goad and Goodman, 1974)
# Default constructor => default values for model
ggTropModel = gpstk.GGTropModel()
# Pointer to one of the two available tropospheric models. It points
# to the void model by default
tropModel = noTropModel
navHeader, navData = gpstk.readRinex3Nav(args.rinex3nav_filename)
for navDataObj in navData:
ephem = navDataObj.toEngEphemeris()
bcestore.addEphemeris(ephem)
# Setting the criteria for looking up ephemeris:
bcestore.SearchNear()
if args.rinexmet_filename is not None:
metHeader, metData = gpstk.readRinexMet(args.rinexmet_filename)
tropModel = ggTropModel
obsHeader, obsData = gpstk.readRinex3Obs(args.rinex3obs_filename)
# The following lines fetch the corresponding indexes for some
# observation types we are interested in. Given that old-style
# observation types are used, GPS is assumed.
try:
indexP1 = obsHeader.getObsIndex('P1')
except:
print 'The observation files has no P1 pseudoranges.'
sys.exit()
try:
indexP2 = obsHeader.getObsIndex('P2')
except:
indexP2 = -1
for obsObj in obsData:
# Find a weather point. Only if a meteorological RINEX file
# was provided, the meteorological data linked list "rml" is
# neither empty or at its end, and the time of meteorological
# records are below observation data epoch.
if args.rinexmet_filename is not None:
for metObj in metData:
if metObj.time >= obsObj.time:
break
else:
metDataDict = metObj.getData()
temp = metDataDict[gpstk.RinexMetHeader.TD]
pressure = metDataDict[gpstk.RinexMetHeader.PR]
humidity = metDataDict[gpstk.RinexMetHeader.HR]
ggTropModel.setWeather(temp, pressure, humidity)
if obsObj.epochFlag == 0 or obsObj.epochFlag == 1:
# Note that we use lists here, but we will need types backed
# by C++ std::vectors later. We'll just keep it easy and use
# gpstk.seqToVector to convert them. If there was a speed
# bottleneck we could use gpstk.cpp.vector_SatID and
# gpstk.cpp.vector_double though.
prnList = []
rangeList = []
# This part gets the PRN numbers and ionosphere-corrected
# pseudoranges for the current epoch. They are correspondly fed
# into "prnList" and "rangeList"; "obs" is a public attribute of
# Rinex3ObsData to get the map of observations
for satID, datumList in obsObj.obs.iteritems():
# The RINEX file may have P1 observations, but the current
# satellite may not have them.
P1 = 0.0
try:
P1 = obsObj.getObs(satID, indexP1).data
except gpstk.exceptions.Exception:
continue # Ignore this satellite if P1 is not found
ionocorr = 0.0
# If there are P2 observations, let's try to apply the
# ionospheric corrections
if indexP2 >= 0:
# The RINEX file may have P2 observations, but the
# current satellite may not have them.
P2 = 0.0
try:
P2 = obsObj.getObs(satID, indexP2).data
except gpstk.exceptions.Exception:
continue # Ignore this satellite if P1 is not found
# list 'vecList' contains RinexDatum, whose public
# attribute "data" indeed holds the actual data point
ionocorr = 1.0 / (1.0 - gpstk.constants.GAMMA_GPS) * (P1 -
P2)
# Now, we include the current PRN number in the first part
# of "it" iterator into the list holding the satellites.
# All satellites in view at this epoch that have P1 or P1+P2
# observations will be included.
prnList.append(satID)
# The same is done for the list of doubles holding the
# corrected ranges
rangeList.append(P1 - ionocorr)
# WARNING: Please note that so far no further correction
# is done on data: Relativistic effects, tropospheric
# correction, instrumental delays, etc
# The default constructor for PRSolution2 objects (like
# "raimSolver") is to set a RMSLimit of 6.5. We change that
# here. With this value of 3e6 the solution will have a lot
# more dispersion.
raimSolver.RMSLimit = 3e6
# In order to compute positions we need the current time, the
# vector of visible satellites, the vector of corresponding
# ranges, the object containing satellite ephemerides, and a
# pointer to the tropospheric model to be applied
time = obsObj.time
# the RAIMComputer method of PRSolution2 accepts a vector<SatID> as its
# 2nd argument, but the list is of RinexSatID, which is a subclass of SatID.
# Since C++ containers are NOT covariant, it is neccessary to change the
# output to a vector or SatID's rather thta a vector of RinexSatID's.
satVector = gpstk.cpp.seqToVector(prnList, outtype='vector_SatID')
rangeVector = gpstk.cpp.seqToVector(rangeList)
raimSolver.RAIMCompute(time, satVector, rangeVector, bcestore,
tropModel)
# Note: Given that the default constructor sets public
# attribute "Algebraic" to FALSE, a linearized least squares
# algorithm will be used to get the solutions.
# Also, the default constructor sets ResidualCriterion to true,
# so the rejection criterion is based on RMS residual of fit,
# instead of RMS distance from an a priori position.
if raimSolver.isValid():
# Vector "Solution" holds the coordinates, expressed in
# meters in an Earth Centered, Earth Fixed (ECEF) reference
# frame. The order is x, y, z (as all ECEF objects)
x, y, z = raimSolver.Solution[0], raimSolver.Solution[
1], raimSolver.Solution[2]
print "%12.5f %12.5f %12.5f" % (x, y, z)
def getdata(nfile, ofile, strsat=None): # one week data
f1, f2 = gpstk.L1_FREQ_GPS, gpstk.L2_FREQ_GPS
alfa = 1.0 / ((f1 ** 2 / f2 ** 2) - 1)
t = [] # observation epoch on code and phase
Iphase, Icode, IPPS = {}, {}, {} # dicc: key=time observer; values=iono delay and IPP
VTECphase, VTECcode, ELEV = {}, {}, {}
PhaseL1, PhaseL2 = {}, {}
CodeL1, CodeL2 = {}, {}
oheader, odata = gpstk.readRinex3Obs(ofile, strict=True)
nheader, ndata = gpstk.readRinex3Nav(nfile)
bcestore = gpstk.GPSEphemerisStore()
for ndato in ndata:
ephem = ndato.toGPSEphemeris()
bcestore.addEphemeris(ephem)
bcestore.SearchNear()
for observation in odata:
sats = [satID for satID, datumList in observation.obs.iteritems() if str(satID).split()[0] == "GPS"]
obs_types = np.array([i for i in oheader.R2ObsTypes])
if "C1" and "P2" and "L1" and "L2" in obs_types:
for sat in sats:
if str(sat) == strsat: # Return for a specific satellite
eph = bcestore.findEphemeris(sat, observation.time)
Tgd = eph.Tgd
sat_pos = eph.svXvt(observation.time)
rec_pos = gpstk.Position(
oheader.antennaPosition[0], oheader.antennaPosition[1], oheader.antennaPosition[2]
).asECEF()
elev = oheader.antennaPosition.elvAngle(sat_pos.x)
azim = oheader.antennaPosition.azAngle(sat_pos.x)
time = observation.time
R = 6.378e6 # earth radius
mapp = 1 / np.cos(np.arcsin(R / (R + 350000)) * np.sin(elev))
IPP = rec_pos.getIonosphericPiercePoint(elev, azim, 350000).asECEF()
t.append(np.trunc(gpstk.YDSTime(time).sod))
if (
np.size(np.where(obs_types == "C1")) > 0
and np.size(np.where(obs_types == "P2")) > 0
and np.size(np.where(obs_types == "L1")) > 0
and np.size(np.where(obs_types == "L2")) > 0
):
C1_idx = np.where(obs_types == "C1")[0][0]
P2_idx = np.where(obs_types == "P2")[0][0]
R1 = observation.getObs(sat, C1_idx).data
R2 = observation.getObs(sat, P2_idx).data
L1_idx = np.where(obs_types == "L1")[0][0]
L2_idx = np.where(obs_types == "L2")[0][0]
L1 = observation.getObs(sat, L1_idx).data * gpstk.L1_WAVELENGTH_GPS
L2 = observation.getObs(sat, L2_idx).data * gpstk.L2_WAVELENGTH_GPS
if (
R2 < 3e7 and R1 < 3e7 and L2 < 3e7 and L1 < 3e7
): # Distances should be in order of 1e7 meters, more than that is considered an error
iono_delay_c = alfa * (R2 - R1)
iono_delay_p = alfa * (L1 - L2)
vtec_C = iono_delay_c / mapp
vtec_P = iono_delay_p / mapp
VTECcode[np.trunc(gpstk.YDSTime(time).sod)] = vtec_C
VTECphase[np.trunc(gpstk.YDSTime(time).sod)] = vtec_P
Icode[np.trunc(gpstk.YDSTime(time).sod)] = iono_delay_c
Iphase[np.trunc(gpstk.YDSTime(time).sod)] = iono_delay_p
ELEV[np.trunc(gpstk.YDSTime(time).sod)] = elev
IPPS[np.trunc(gpstk.YDSTime(time).sod)] = IPP
PhaseL1[np.trunc(gpstk.YDSTime(time).sod)] = L1
PhaseL2[np.trunc(gpstk.YDSTime(time).sod)] = L2
CodeL1[np.trunc(gpstk.YDSTime(time).sod)] = R1
CodeL2[np.trunc(gpstk.YDSTime(time).sod)] = R2
# stec=(iono_delay_p*f1**2)/(-40.3) #STEC delay on phase [mm]
# vtec=stec/mapp #vertical delay!
else:
print "Needs both L1 and L2 frequencies to compute delay"
break
return t, Icode, Iphase, VTECphase, ELEV, IPPS, PhaseL1, PhaseL2, CodeL1, CodeL2, Tgd
#!/usr/bin/env python
"""
An example reading a RINEX obs, nav and met file and using
PRSolution2 to computer a receiver position and compare
this to the position in the obs header.
"""
import gpstk
import sys
obsfn = gpstk.getPathData() + '/arlm200z.15o'
navfn = gpstk.getPathData() + '/arlm200z.15n'
metfn = gpstk.getPathData() + '/arlm200z.15m'
navHeader, navData = gpstk.readRinex3Nav(navfn)
ephStore = gpstk.gpstk.Rinex3EphemerisStore()
for navDataObj in navData:
ephStore.addEphemeris(navDataObj)
tropModel = gpstk.GGTropModel()
metHeader, metData = gpstk.readRinexMet(metfn)
obsHeader, obsData = gpstk.readRinex3Obs(obsfn)
indexP1 = obsHeader.getObsIndex('C1W')
indexP2 = obsHeader.getObsIndex('C2W')
raimSolver = gpstk.PRSolution2()
for obsObj in obsData:
for metObj in metData:
if metObj.time >= obsObj.time:
def getdata(nfile, ofile, strsat=None): #one week data
f1, f2 = gpstk.L1_FREQ_GPS, gpstk.L2_FREQ_GPS
alfa = 1.0 / ((f1**2 / f2**2) - 1)
t = [] #observation epoch on code and phase
Iphase, Icode, IPPS = {}, {}, {
} #dicc: key=time observer; values=iono delay and IPP
VTECphase, VTECcode, ELEV = {}, {}, {}
PhaseL1, PhaseL2 = {}, {}
CodeL1, CodeL2 = {}, {}
oheader, odata = gpstk.readRinex3Obs(ofile, strict=True)
nheader, ndata = gpstk.readRinex3Nav(nfile)
bcestore = gpstk.GPSEphemerisStore()
for ndato in ndata:
ephem = ndato.toGPSEphemeris()
bcestore.addEphemeris(ephem)
bcestore.SearchNear()
for observation in odata:
sats = [
satID for satID, datumList in observation.obs.iteritems()
if str(satID).split()[0] == "GPS"
]
obs_types = np.array([i for i in oheader.R2ObsTypes])
if 'C1' and 'P2' and 'L1' and 'L2' in obs_types:
for sat in sats:
if str(sat) == strsat: #Return for a specific satellite
eph = bcestore.findEphemeris(sat, observation.time)
Tgd = eph.Tgd
sat_pos = eph.svXvt(observation.time)
rec_pos = gpstk.Position(
oheader.antennaPosition[0], oheader.antennaPosition[1],
oheader.antennaPosition[2]).asECEF()
elev = oheader.antennaPosition.elvAngle(sat_pos.x)
azim = oheader.antennaPosition.azAngle(sat_pos.x)
time = observation.time
R = 6.378e6 #earth radius
mapp = 1 / np.cos(
np.arcsin(R / (R + 350000)) * np.sin(elev))
IPP = rec_pos.getIonosphericPiercePoint(
elev, azim, 350000).asECEF()
t.append(np.trunc(gpstk.YDSTime(time).sod))
if np.size(np.where(obs_types == 'C1')) > 0 and np.size(
np.where(obs_types == 'P2')) > 0 and np.size(
np.where(obs_types == 'L1')) > 0 and np.size(
np.where(obs_types == 'L2')) > 0:
C1_idx = np.where(obs_types == 'C1')[0][0]
P2_idx = np.where(obs_types == 'P2')[0][0]
R1 = observation.getObs(sat, C1_idx).data
R2 = observation.getObs(sat, P2_idx).data
L1_idx = np.where(obs_types == 'L1')[0][0]
L2_idx = np.where(obs_types == 'L2')[0][0]
L1 = observation.getObs(
sat, L1_idx).data * gpstk.L1_WAVELENGTH_GPS
L2 = observation.getObs(
sat, L2_idx).data * gpstk.L2_WAVELENGTH_GPS
if R2 < 3e7 and R1 < 3e7 and L2 < 3e7 and L1 < 3e7: #Distances should be in order of 1e7 meters, more than that is considered an error
iono_delay_c = alfa * (R2 - R1)
iono_delay_p = alfa * (L1 - L2)
vtec_C = iono_delay_c / mapp
vtec_P = iono_delay_p / mapp
VTECcode[np.trunc(
gpstk.YDSTime(time).sod)] = vtec_C
VTECphase[np.trunc(
gpstk.YDSTime(time).sod)] = vtec_P
Icode[np.trunc(
gpstk.YDSTime(time).sod)] = iono_delay_c
Iphase[np.trunc(
gpstk.YDSTime(time).sod)] = iono_delay_p
ELEV[np.trunc(gpstk.YDSTime(time).sod)] = elev
IPPS[np.trunc(gpstk.YDSTime(time).sod)] = IPP
PhaseL1[np.trunc(gpstk.YDSTime(time).sod)] = L1
PhaseL2[np.trunc(gpstk.YDSTime(time).sod)] = L2
CodeL1[np.trunc(gpstk.YDSTime(time).sod)] = R1
CodeL2[np.trunc(gpstk.YDSTime(time).sod)] = R2
#stec=(iono_delay_p*f1**2)/(-40.3) #STEC delay on phase [mm]
#vtec=stec/mapp #vertical delay!
else:
print "Needs both L1 and L2 frequencies to compute delay"
break
return t, Icode, Iphase, VTECphase, ELEV, IPPS, PhaseL1, PhaseL2, CodeL1, CodeL2, Tgd
def main():
parser = argparse.ArgumentParser()
parser.add_argument('rinex3obs_filename')
parser.add_argument('rinex3nav_filename')
parser.add_argument('-m', '--rinexmet_filename')
args = parser.parse_args()
# Declaration of objects for storing ephemerides and handling RAIM
bcestore = gpstk.GPSEphemerisStore()
raimSolver = gpstk.PRSolution2()
# Object for void-type tropospheric model (in case no meteorological
# RINEX is available)
noTropModel = gpstk.ZeroTropModel()
# Object for GG-type tropospheric model (Goad and Goodman, 1974)
# Default constructor => default values for model
ggTropModel = gpstk.GGTropModel()
# Pointer to one of the two available tropospheric models. It points
# to the void model by default
tropModel = noTropModel
navHeader, navData = gpstk.readRinex3Nav(args.rinex3nav_filename)
for navDataObj in navData:
ephem = navDataObj.toEngEphemeris()
bcestore.addEphemeris(ephem)
# Setting the criteria for looking up ephemeris:
bcestore.SearchNear()
if args.rinexmet_filename is not None:
metHeader, metData = gpstk.readRinexMet(args.rinexmet_filename)
tropModel = ggTropModel
obsHeader, obsData = gpstk.readRinex3Obs(args.rinex3obs_filename)
# The following lines fetch the corresponding indexes for some
# observation types we are interested in. Given that old-style
# observation types are used, GPS is assumed.
try:
indexP1 = obsHeader.getObsIndex('C1P')
except:
print 'The observation files has no L1 C/A pseudoranges.'
sys.exit()
try:
indexP2 = obsHeader.getObsIndex('C2W')
except:
print 'The observation files has no L2 codeless pseudoranges.'
indexP2 = -1
for obsObj in obsData:
# Find a weather point. Only if a meteorological RINEX file
# was provided, the meteorological data linked list "rml" is
# neither empty or at its end, and the time of meteorological
# records are below observation data epoch.
if args.rinexmet_filename is not None:
for metObj in metData:
if metObj.time >= obsObj.time:
break
else:
metDataDict = metObj.getData()
temp = metDataDict[gpstk.RinexMetHeader.TD]
pressure = metDataDict[gpstk.RinexMetHeader.PR]
humidity = metDataDict[gpstk.RinexMetHeader.HR]
ggTropModel.setWeather(temp, pressure, humidity)
if obsObj.epochFlag == 0 or obsObj.epochFlag == 1:
# Note that we use lists here, but we will need types backed
# by C++ std::vectors later. We'll just keep it easy and use
# gpstk.seqToVector to convert them. If there was a speed
# bottleneck we could use gpstk.cpp.vector_SatID and
# gpstk.cpp.vector_double though.
prnList = []
rangeList = []
# This part gets the PRN numbers and ionosphere-corrected
# pseudoranges for the current epoch. They are correspondly fed
# into "prnList" and "rangeList"; "obs" is a public attribute of
# Rinex3ObsData to get the map of observations
for satID, datumList in obsObj.obs.iteritems():
# The RINEX file may have P1 observations, but the current
# satellite may not have them.
P1 = 0.0
try:
P1 = obsObj.getObs(satID, indexP1).data
except gpstk.exceptions.Exception:
continue # Ignore this satellite if P1 is not found
ionocorr = 0.0
# If there are P2 observations, let's try to apply the
# ionospheric corrections
if indexP2 >= 0:
# The RINEX file may have P2 observations, but the
# current satellite may not have them.
P2 = 0.0
try:
P2 = obsObj.getObs(satID, indexP2).data
except gpstk.exceptions.Exception:
continue # Ignore this satellite if P1 is not found
# list 'vecList' contains RinexDatum, whose public
# attribute "data" indeed holds the actual data point
ionocorr = 1.0 / (1.0 - gpstk.GAMMA_GPS) * ( P1 - P2 )
# Now, we include the current PRN number in the first part
# of "it" iterator into the list holding the satellites.
# All satellites in view at this epoch that have P1 or P1+P2
# observations will be included.
prnList.append(satID)
# The same is done for the list of doubles holding the
# corrected ranges
rangeList.append(P1 - ionocorr)
# WARNING: Please note that so far no further correction
# is done on data: Relativistic effects, tropospheric
# correction, instrumental delays, etc
# The default constructor for PRSolution2 objects (like
# "raimSolver") is to set a RMSLimit of 6.5. We change that
# here. With this value of 3e6 the solution will have a lot
# more dispersion.
raimSolver.RMSLimit = 3e6
# In order to compute positions we need the current time, the
# vector of visible satellites, the vector of corresponding
# ranges, the object containing satellite ephemerides, and a
# pointer to the tropospheric model to be applied
time = obsObj.time
# the RAIMComputer method of PRSolution2 accepts a vector<SatID> as its
# 2nd argument, but the list is of RinexSatID, which is a subclass of SatID.
# Since C++ containers are NOT covariant, it is neccessary to change the
# output to a vector or SatID's rather thta a vector of RinexSatID's.
satVector = gpstk.cpp.seqToVector(prnList, outtype='vector_SatID')
rangeVector = gpstk.cpp.seqToVector(rangeList)
raimSolver.RAIMCompute(time, satVector, rangeVector, bcestore, tropModel)
# Note: Given that the default constructor sets public
# attribute "Algebraic" to FALSE, a linearized least squares
# algorithm will be used to get the solutions.
# Also, the default constructor sets ResidualCriterion to true,
# so the rejection criterion is based on RMS residual of fit,
# instead of RMS distance from an a priori position.
if raimSolver.isValid():
# Vector "Solution" holds the coordinates, expressed in
# meters in an Earth Centered, Earth Fixed (ECEF) reference
# frame. The order is x, y, z (as all ECEF objects)
x, y, z = raimSolver.Solution[0], raimSolver.Solution[1], raimSolver.Solution[2]
print "%12.5f %12.5f %12.5f" % (x, y, z)
def rinex_to_dataframe(obsfile, navfile):
c = 299792458.
observation_types=["P1", "P2", "L1", "L2"]
obsHeader, obsData = gpstk.readRinex3Obs(obsfile)
navHeader, navData = gpstk.readRinex3Nav(navfile)
# setup ephemeris store to look for satellite positions
bcestore = gpstk.GPSEphemerisStore()
for navDataObj in navData:
ephem = navDataObj.toGPSEphemeris()
bcestore.addEphemeris(ephem)
bcestore.SearchNear()
navData.close()
rec_pos = [obsHeader.antennaPosition[0], obsHeader.antennaPosition[1], obsHeader.antennaPosition[2]]
requested_obstypes = observation_types
obsidxs = []
obstypes = []
obsdefs = np.array([i for i in obsHeader.R2ObsTypes])
for i in requested_obstypes:
w = np.where(obsdefs==i)[0]
if len(w)!=0:
obsidxs.append(w[0])
obstypes.append(i)
else:
print ("WARNING! observation `"+i+"` no present in file")
obsidxs, obstypes
r = []
for obsObject in obsData:
prnlist = []
obsdict = {}
prnspos = []
prns_clockbias = []
prns_relcorr = []
prnselev = []
prnsaz = []
for i in obstypes:
obsdict[i]=[]
gpsTime = gpstk.GPSWeekSecond(obsObject.time)
for satID, datumList in obsObject.obs.iteritems():
if satID.system == satID.systemGPS:
prnlist.append("".join(str(satID).split()))
eph = bcestore.findEphemeris(satID, obsObject.time)
for i in range(len(obsidxs)):
obsdict[obstypes[i]].append(obsObject.getObs(satID, obsidxs[i]).data)
P1 = obsObject.getObs(satID, obsidxs[0]).data
svTime = obsObject.time - P1/c
svXvt = eph.svXvt(svTime)
svTime += - svXvt.getClockBias() + svXvt.getRelativityCorr()
svXvt = eph.svXvt(svTime)
prnspos.append([svXvt.x[0], svXvt.x[1], svXvt.x[2]])
prns_clockbias.append(svXvt.getClockBias())
prns_relcorr.append(svXvt.getRelativityCorr())
prnselev.append(obsHeader.antennaPosition.elvAngle(svXvt.getPos()))
prnsaz.append(obsHeader.antennaPosition.azAngle(svXvt.getPos()))
r.append([gpsTime.getWeek(), gpsTime.getSOW(), np.array(prnlist), np.array(prnspos), np.array(prns_clockbias), np.array(prns_relcorr), np.array(prnselev), np.array(prnsaz)] + [np.array(obsdict[i]) for i in obstypes])
names=["gps_week", "gps_sow", "prns", "prns_pos", "prns_clockbias", "prns_relcorr", "prns_elev", "prns_az"] + obstypes
r = pd.DataFrame(r, columns=names)
obsData.close()
return r, bcestore, np.array(rec_pos)
def rinex_to_dataframe(obsfile, navfile):
c = 299792458.
#observation_types=["P1", "P2", "L1", "L2"]
observation_types = ["C1", "P2", "L1", "L2"]
obsHeader, obsData = gpstk.readRinex3Obs(obsfile)
navHeader, navData = gpstk.readRinex3Nav(navfile)
# setup ephemeris store to look for satellite positions
bcestore = gpstk.GPSEphemerisStore()
for navDataObj in navData:
ephem = navDataObj.toGPSEphemeris()
bcestore.addEphemeris(ephem)
bcestore.SearchNear()
navData.close()
rec_pos = [
obsHeader.antennaPosition[0], obsHeader.antennaPosition[1],
obsHeader.antennaPosition[2]
]
requested_obstypes = observation_types
obsidxs = []
obstypes = []
obsdefs = np.array([i for i in obsHeader.R2ObsTypes])
for i in requested_obstypes:
w = np.where(obsdefs == i)[0]
if len(w) != 0:
obsidxs.append(w[0])
obstypes.append(i)
else:
print("WARNING! observation `" + i + "` no present in file")
obsidxs, obstypes
print obsdefs #que tipos hay
r = []
for obsObject in obsData:
prnlist = []
obsdict = {}
prnspos = []
prns_clockbias = []
prns_relcorr = []
prnselev = []
prnsaz = []
for i in obstypes:
obsdict[i] = []
gpsTime = gpstk.GPSWeekSecond(obsObject.time)
for satID, datumList in obsObject.obs.iteritems():
if satID.system == satID.systemGPS:
prnlist.append("".join(str(satID).split()))
try:
eph = bcestore.findEphemeris(satID, obsObject.time)
except:
print "no encontrada!"
for i in range(len(obsidxs)):
obsdict[obstypes[i]].append(
obsObject.getObs(satID, obsidxs[i]).data)
P1 = obsObject.getObs(satID, obsidxs[0]).data
svTime = obsObject.time - P1 / c
svXvt = eph.svXvt(svTime)
svTime += -svXvt.getClockBias() + svXvt.getRelativityCorr()
svXvt = eph.svXvt(svTime)
prnspos.append([svXvt.x[0], svXvt.x[1], svXvt.x[2]])
prns_clockbias.append(svXvt.getClockBias())
prns_relcorr.append(svXvt.getRelativityCorr())
prnselev.append(
obsHeader.antennaPosition.elvAngle(svXvt.getPos()))
prnsaz.append(obsHeader.antennaPosition.azAngle(
svXvt.getPos()))
correct_sod = np.round(
gpstk.YDSTime(obsObject.time).sod / 30.0) * 30 #mod 30s
r.append([
gpsTime.getWeek(),
gpsTime.getSOW(), correct_sod,
np.array(prnlist),
np.array(prnspos),
np.array(prns_clockbias),
np.array(prns_relcorr),
np.array(prnselev),
np.array(prnsaz)
] + [np.array(obsdict[i]) for i in obstypes])
names = [
"gps_week", "gps_sow", "tod", "prns", "prns_pos", "prns_clockbias",
"prns_relcorr", "prns_elev", "prns_az"
] + obstypes
r = pd.DataFrame(r, columns=names)
obsData.close()
return r, bcestore, np.array(rec_pos)
