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orbital.py
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orbital.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2011, 2012, 2013, 2014, 2015.
# Author(s):
# Esben S. Nielsen <esn@dmi.dk>
# Adam Dybbroe <adam.dybbroe@smhi.se>
# Martin Raspaud <martin.raspaud@smhi.se>
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
"""Module for computing the orbital parameters of satellites."""
import logging
import warnings
from datetime import datetime, timedelta
import numpy as np
from scipy import optimize
from pyorbital import astronomy, dt2np, tlefile
try:
import dask.array as da
has_dask = True
except ImportError:
da = None
has_dask = False
try:
import xarray as xr
has_xarray = True
except ImportError:
xr = None
has_xarray = False
logger = logging.getLogger(__name__)
ECC_EPS = 1.0e-6 # Too low for computing further drops.
ECC_LIMIT_LOW = -1.0e-3
ECC_LIMIT_HIGH = 1.0 - ECC_EPS # Too close to 1
ECC_ALL = 1.0e-4
EPS_COS = 1.5e-12
NR_EPS = 1.0e-12
CK2 = 5.413080e-4
CK4 = 0.62098875e-6
E6A = 1.0e-6
QOMS2T = 1.88027916e-9
S = 1.01222928
S0 = 78.0
XJ3 = -0.253881e-5
XKE = 0.743669161e-1
XKMPER = 6378.135
XMNPDA = 1440.0
# MFACTOR = 7.292115E-5
AE = 1.0
SECDAY = 8.6400E4
F = 1 / 298.257223563 # Earth flattening WGS-84
A = 6378.137 # WGS84 Equatorial radius
SGDP4_ZERO_ECC = 0
SGDP4_DEEP_NORM = 1
SGDP4_NEAR_SIMP = 2
SGDP4_NEAR_NORM = 3
KS = AE * (1.0 + S0 / XKMPER)
A3OVK2 = (-XJ3 / CK2) * AE**3
class OrbitalError(Exception):
pass
def get_observer_look(sat_lon, sat_lat, sat_alt, utc_time, lon, lat, alt):
"""Calculate observers look angle to a satellite.
http://celestrak.com/columns/v02n02/
:utc_time: Observation time (datetime object)
:lon: Longitude of observer position on ground in degrees east
:lat: Latitude of observer position on ground in degrees north
:alt: Altitude above sea-level (geoid) of observer position on ground in km
:return: (Azimuth, Elevation)
"""
(pos_x, pos_y, pos_z), (vel_x, vel_y, vel_z) = astronomy.observer_position(
utc_time, sat_lon, sat_lat, sat_alt)
(opos_x, opos_y, opos_z), (ovel_x, ovel_y, ovel_z) = \
astronomy.observer_position(utc_time, lon, lat, alt)
lon = np.deg2rad(lon)
lat = np.deg2rad(lat)
theta = (astronomy.gmst(utc_time) + lon) % (2 * np.pi)
rx = pos_x - opos_x
ry = pos_y - opos_y
rz = pos_z - opos_z
sin_lat = np.sin(lat)
cos_lat = np.cos(lat)
sin_theta = np.sin(theta)
cos_theta = np.cos(theta)
top_s = sin_lat * cos_theta * rx + \
sin_lat * sin_theta * ry - cos_lat * rz
top_e = -sin_theta * rx + cos_theta * ry
top_z = cos_lat * cos_theta * rx + \
cos_lat * sin_theta * ry + sin_lat * rz
# Azimuth is undefined when elevation is 90 degrees, 180 (pi) will be returned.
az_ = np.arctan2(-top_e, top_s) + np.pi
az_ = np.mod(az_, 2 * np.pi) # Needed on some platforms
rg_ = np.sqrt(rx * rx + ry * ry + rz * rz)
top_z_divided_by_rg_ = top_z / rg_
# Due to rounding top_z can be larger than rg_ (when el_ ~ 90).
top_z_divided_by_rg_ = top_z_divided_by_rg_.clip(max=1)
el_ = np.arcsin(top_z_divided_by_rg_)
return np.rad2deg(az_), np.rad2deg(el_)
class Orbital(object):
"""Class for orbital computations.
The *satellite* parameter is the name of the satellite to work on and is
used to retrieve the right TLE data for internet or from *tle_file* in case
it is provided.
"""
def __init__(self, satellite, tle_file=None, line1=None, line2=None):
satellite = satellite.upper()
self.satellite_name = satellite
self.tle = tlefile.read(satellite, tle_file=tle_file,
line1=line1, line2=line2)
self.orbit_elements = OrbitElements(self.tle)
self._sgdp4 = _SGDP4(self.orbit_elements)
def __str__(self):
return self.satellite_name + " " + str(self.tle)
def get_last_an_time(self, utc_time):
"""Calculate time of last ascending node relative to the
specified time
"""
# Propagate backwards to ascending node
dt = np.timedelta64(10, 'm')
t_old = utc_time
t_new = t_old - dt
pos0, vel0 = self.get_position(t_old, normalize=False)
pos1, vel1 = self.get_position(t_new, normalize=False)
while not (pos0[2] > 0 and pos1[2] < 0):
pos0 = pos1
t_old = t_new
t_new = t_old - dt
pos1, vel1 = self.get_position(t_new, normalize=False)
# Return if z within 1 km of an
if np.abs(pos0[2]) < 1:
return t_old
elif np.abs(pos1[2]) < 1:
return t_new
# Bisect to z within 1 km
while np.abs(pos1[2]) > 1:
# pos0, vel0 = pos1, vel1
dt = (t_old - t_new) / 2
t_mid = t_old - dt
pos1, vel1 = self.get_position(t_mid, normalize=False)
if pos1[2] > 0:
t_old = t_mid
else:
t_new = t_mid
return t_mid
def get_position(self, utc_time, normalize=True):
"""Get the cartesian position and velocity from the satellite."""
kep = self._sgdp4.propagate(utc_time)
pos, vel = kep2xyz(kep)
if normalize:
pos /= XKMPER
vel /= XKMPER * XMNPDA / SECDAY
return pos, vel
def get_lonlatalt(self, utc_time):
"""Calculate sublon, sublat and altitude of satellite.
http://celestrak.com/columns/v02n03/
"""
(pos_x, pos_y, pos_z), (vel_x, vel_y, vel_z) = self.get_position(
utc_time, normalize=True)
lon = ((np.arctan2(pos_y * XKMPER, pos_x * XKMPER) - astronomy.gmst(utc_time))
% (2 * np.pi))
lon = np.where(lon > np.pi, lon - np.pi * 2, lon)
lon = np.where(lon <= -np.pi, lon + np.pi * 2, lon)
r = np.sqrt(pos_x ** 2 + pos_y ** 2)
lat = np.arctan2(pos_z, r)
e2 = F * (2 - F)
while True:
lat2 = lat
c = 1 / (np.sqrt(1 - e2 * (np.sin(lat2) ** 2)))
lat = np.arctan2(pos_z + c * e2 * np.sin(lat2), r)
if np.all(abs(lat - lat2) < 1e-10):
break
alt = r / np.cos(lat) - c
alt *= A
return np.rad2deg(lon), np.rad2deg(lat), alt
def find_aos(self, utc_time, lon, lat):
pass
def find_aol(self, utc_time, lon, lat):
pass
def get_observer_look(self, utc_time, lon, lat, alt):
"""Calculate observers look angle to a satellite.
http://celestrak.com/columns/v02n02/
utc_time: Observation time (datetime object)
lon: Longitude of observer position on ground in degrees east
lat: Latitude of observer position on ground in degrees north
alt: Altitude above sea-level (geoid) of observer position on ground in km
Return: (Azimuth, Elevation)
"""
utc_time = dt2np(utc_time)
(pos_x, pos_y, pos_z), (vel_x, vel_y, vel_z) = self.get_position(
utc_time, normalize=False)
(opos_x, opos_y, opos_z), (ovel_x, ovel_y, ovel_z) = \
astronomy.observer_position(utc_time, lon, lat, alt)
lon = np.deg2rad(lon)
lat = np.deg2rad(lat)
theta = (astronomy.gmst(utc_time) + lon) % (2 * np.pi)
rx = pos_x - opos_x
ry = pos_y - opos_y
rz = pos_z - opos_z
sin_lat = np.sin(lat)
cos_lat = np.cos(lat)
sin_theta = np.sin(theta)
cos_theta = np.cos(theta)
top_s = sin_lat * cos_theta * rx + \
sin_lat * sin_theta * ry - cos_lat * rz
top_e = -sin_theta * rx + cos_theta * ry
top_z = cos_lat * cos_theta * rx + \
cos_lat * sin_theta * ry + sin_lat * rz
az_ = np.arctan(-top_e / top_s)
az_ = np.where(top_s > 0, az_ + np.pi, az_)
az_ = np.where(az_ < 0, az_ + 2 * np.pi, az_)
rg_ = np.sqrt(rx * rx + ry * ry + rz * rz)
el_ = np.arcsin(top_z / rg_)
return np.rad2deg(az_), np.rad2deg(el_)
def get_orbit_number(self, utc_time, tbus_style=False, as_float=False):
"""Calculate orbit number at specified time.
Args:
tbus_style: If True, use TBUS-style orbit numbering (TLE orbit number + 1)
as_float: Return a continuous orbit number as float.
"""
utc_time = np.datetime64(utc_time)
try:
dt = astronomy._days(utc_time - self.orbit_elements.an_time)
orbit_period = astronomy._days(self.orbit_elements.an_period)
except AttributeError:
pos_epoch, vel_epoch = self.get_position(self.tle.epoch,
normalize=False)
if np.abs(pos_epoch[2]) > 1 or not vel_epoch[2] > 0:
# Epoch not at ascending node
self.orbit_elements.an_time = self.get_last_an_time(
self.tle.epoch)
else:
# Epoch at ascending node (z < 1 km) and positive v_z
self.orbit_elements.an_time = self.tle.epoch
self.orbit_elements.an_period = self.orbit_elements.an_time - \
self.get_last_an_time(self.orbit_elements.an_time
- np.timedelta64(10, 'm'))
dt = astronomy._days(utc_time - self.orbit_elements.an_time)
orbit_period = astronomy._days(self.orbit_elements.an_period)
orbit = self.tle.orbit + dt / orbit_period + \
self.tle.mean_motion_derivative * dt ** 2 + \
self.tle.mean_motion_sec_derivative * dt ** 3
if not as_float:
orbit = int(orbit)
if tbus_style:
orbit += 1
return orbit
def get_next_passes(self, utc_time, length, lon, lat, alt, tol=0.001, horizon=0):
"""Calculate passes for the next hours for a given start time and a
given observer.
Original by Martin.
:utc_time: Observation time (datetime object)
:length: Number of hours to find passes (int)
:lon: Longitude of observer position on ground (float)
:lat: Latitude of observer position on ground (float)
:alt: Altitude above sea-level (geoid) of observer position on ground (float)
:tol: precision of the result in seconds
:horizon: the elevation of horizon to compute risetime and falltime.
:return: [(rise-time, fall-time, max-elevation-time), ...]
"""
def elevation(minutes):
"""Compute the elevation."""
return self.get_observer_look(utc_time +
timedelta(
minutes=np.float64(minutes)),
lon, lat, alt)[1] - horizon
def elevation_inv(minutes):
"""Compute the inverse of elevation."""
return -elevation(minutes)
def get_root(fun, start, end, tol=0.01):
"""Root finding scheme"""
x_0 = end
x_1 = start
fx_0 = fun(end)
fx_1 = fun(start)
if abs(fx_0) < abs(fx_1):
fx_0, fx_1 = fx_1, fx_0
x_0, x_1 = x_1, x_0
x_n = optimize.brentq(fun, x_0, x_1)
return x_n
def get_max_parab(fun, start, end, tol=0.01):
"""Successive parabolic interpolation."""
a = float(start)
c = float(end)
b = (a + c) / 2.0
f_a = fun(a)
f_b = fun(b)
f_c = fun(c)
x = b
with np.errstate(invalid='raise'):
while True:
try:
x = x - 0.5 * (((b - a) ** 2 * (f_b - f_c)
- (b - c) ** 2 * (f_b - f_a)) /
((b - a) * (f_b - f_c) - (b - c) * (f_b - f_a)))
except FloatingPointError:
return b
if abs(b - x) <= tol:
return x
f_x = fun(x)
# sometimes the estimation diverges... return best guess
if f_x > f_b:
logger.info('Parabolic interpolation did not converge, returning best guess so far.')
return b
a, b, c = (a + x) / 2.0, x, (x + c) / 2.0
f_a, f_b, f_c = fun(a), f_x, fun(c)
# every minute
times = utc_time + np.array([timedelta(minutes=minutes)
for minutes in range(length * 60)])
elev = self.get_observer_look(times, lon, lat, alt)[1] - horizon
zcs = np.where(np.diff(np.sign(elev)))[0]
res = []
risetime = None
for guess in zcs:
horizon_mins = get_root(
elevation, guess, guess + 1.0, tol=tol / 60.0)
horizon_time = utc_time + timedelta(minutes=horizon_mins)
if elev[guess] < 0:
risetime = horizon_time
risemins = horizon_mins
else:
falltime = horizon_time
fallmins = horizon_mins
if risetime:
int_start = max(0, int(np.floor(risemins)))
int_end = min(len(elev), int(np.ceil(fallmins) + 1))
middle = int_start + np.argmax(elev[int_start:int_end])
highest = utc_time + \
timedelta(minutes=get_max_parab(
elevation_inv,
max(risemins, middle - 1), min(fallmins, middle + 1),
tol=tol / 60.0
))
res += [(risetime, falltime, highest)]
risetime = None
return res
def _get_time_at_horizon(self, utc_time, obslon, obslat, **kwargs):
"""Get the time closest in time to *utc_time* when the
satellite is at the horizon relative to the position of an observer on
ground (altitude = 0)
Note: This is considered deprecated and it's functionality is currently
replaced by 'get_next_passes'.
"""
warnings.warn("_get_time_at_horizon is replaced with get_next_passes",
DeprecationWarning)
if "precision" in kwargs:
precision = kwargs['precision']
else:
precision = timedelta(seconds=0.001)
if "max_iterations" in kwargs:
nmax_iter = kwargs["max_iterations"]
else:
nmax_iter = 100
sec_step = 0.5
t_step = timedelta(seconds=sec_step / 2.0)
# Local derivative:
def fprime(timex):
el0 = self.get_observer_look(timex - t_step,
obslon, obslat, 0.0)[1]
el1 = self.get_observer_look(timex + t_step,
obslon, obslat, 0.0)[1]
return el0, (abs(el1) - abs(el0)) / sec_step
tx0 = utc_time - timedelta(seconds=1.0)
tx1 = utc_time
idx = 0
# eps = 500.
eps = 100.
while abs(tx1 - tx0) > precision and idx < nmax_iter:
tx0 = tx1
fpr = fprime(tx0)
# When the elevation is high the scale is high, and when
# the elevation is low the scale is low
# var_scale = np.abs(np.sin(fpr[0] * np.pi/180.))
# var_scale = np.sqrt(var_scale)
var_scale = np.abs(fpr[0])
tx1 = tx0 - timedelta(seconds=(eps * var_scale * fpr[1]))
idx = idx + 1
# print idx, tx0, tx1, var_scale, fpr
if abs(tx1 - utc_time) < precision and idx < 2:
tx1 = tx1 + timedelta(seconds=1.0)
if abs(tx1 - tx0) <= precision and idx < nmax_iter:
return tx1
else:
return None
def utc2local(self, utc_time):
"""Convert UTC to local time."""
lon, _, _ = self.get_lonlatalt(utc_time)
return utc_time + timedelta(hours=lon * 24 / 360.0)
def get_equatorial_crossing_time(self, tstart, tend, node='ascending', local_time=False,
rtol=1E-9):
"""Estimate the equatorial crossing time of an orbit.
The crossing time is determined via the orbit number, which increases by one if the
spacecraft passes the ascending node at the equator. A bisection algorithm is used to find
the time of that passage.
Args:
tstart: Start time of the orbit
tend: End time of the orbit. Orbit number at the end must be at least one greater than
at the start. If there are multiple revolutions in the given time interval, the
crossing time of the last revolution in that interval will be computed.
node: Specifies whether to compute the crossing time at the ascending or descending
node. Choices: ('ascending', 'descending').
local_time: By default the UTC crossing time is returned. Use this flag to convert UTC
to local time.
rtol: Tolerance of the bisection algorithm. The smaller the tolerance, the more accurate
the result.
"""
# Determine orbit number at the start and end of the orbit.
n_start = self.get_orbit_number(tstart, as_float=True)
n_end = self.get_orbit_number(tend, as_float=True)
if int(n_end) - int(n_start) == 0:
# Orbit doesn't cross the equator in the given time interval
return None
elif n_end - n_start > 1:
warnings.warn('Multiple revolutions between start and end time. Computing crossing '
'time for the last revolution in that interval.')
# Let n'(t) = n(t) - offset. Determine offset so that n'(tstart) < 0 and n'(tend) > 0 and
# n'(tcross) = 0.
offset = int(n_end)
if node == 'descending':
offset = offset + 0.5
# Use bisection algorithm to find the root of n'(t), which is the crossing time. The
# algorithm requires continuous time coordinates, so convert timestamps to microseconds
# since 1970.
time_unit = 'us' # same precision as datetime
def _nprime(time_f):
"""Continuous orbit number as a function of time."""
time64 = np.datetime64(int(time_f), time_unit)
n = self.get_orbit_number(time64, as_float=True)
return n - offset
try:
tcross = optimize.bisect(_nprime,
a=np.datetime64(tstart, time_unit).astype(np.int64),
b=np.datetime64(tend, time_unit).astype(np.int64),
rtol=rtol)
except ValueError:
# Bisection did not converge
return None
tcross = np.datetime64(int(tcross), time_unit).astype(datetime)
# Convert UTC to local time
if local_time:
tcross = self.utc2local(tcross)
return tcross
class OrbitElements(object):
"""Class holding the orbital elements.
"""
def __init__(self, tle):
self.epoch = tle.epoch
self.excentricity = tle.excentricity
self.inclination = np.deg2rad(tle.inclination)
self.right_ascension = np.deg2rad(tle.right_ascension)
self.arg_perigee = np.deg2rad(tle.arg_perigee)
self.mean_anomaly = np.deg2rad(tle.mean_anomaly)
self.mean_motion = tle.mean_motion * (np.pi * 2 / XMNPDA)
self.mean_motion_derivative = tle.mean_motion_derivative * \
np.pi * 2 / XMNPDA ** 2
self.mean_motion_sec_derivative = tle.mean_motion_sec_derivative * \
np.pi * 2 / XMNPDA ** 3
self.bstar = tle.bstar * AE
n_0 = self.mean_motion
k_e = XKE
k_2 = CK2
i_0 = self.inclination
e_0 = self.excentricity
a_1 = (k_e / n_0) ** (2.0 / 3)
delta_1 = ((3 / 2.0) * (k_2 / a_1**2) * ((3 * np.cos(i_0)**2 - 1) /
(1 - e_0**2)**(2.0 / 3)))
a_0 = a_1 * (1 - delta_1 / 3 - delta_1**2 - (134.0 / 81) * delta_1**3)
delta_0 = ((3 / 2.0) * (k_2 / a_0**2) * ((3 * np.cos(i_0)**2 - 1) /
(1 - e_0**2)**(2.0 / 3)))
# original mean motion
n_0pp = n_0 / (1 + delta_0)
self.original_mean_motion = n_0pp
# semi major axis
a_0pp = a_0 / (1 - delta_0)
self.semi_major_axis = a_0pp
self.period = np.pi * 2 / n_0pp
self.perigee = (a_0pp * (1 - e_0) / AE - AE) * XKMPER
self.right_ascension_lon = (self.right_ascension
- astronomy.gmst(self.epoch))
if self.right_ascension_lon > np.pi:
self.right_ascension_lon -= 2 * np.pi
class _SGDP4(object):
"""Class for the SGDP4 computations.
"""
def __init__(self, orbit_elements):
self.mode = None
# perigee = orbit_elements.perigee
self.eo = orbit_elements.excentricity
self.xincl = orbit_elements.inclination
self.xno = orbit_elements.original_mean_motion
# k_2 = CK2
# k_4 = CK4
# k_e = XKE
self.bstar = orbit_elements.bstar
self.omegao = orbit_elements.arg_perigee
self.xmo = orbit_elements.mean_anomaly
self.xnodeo = orbit_elements.right_ascension
self.t_0 = orbit_elements.epoch
self.xn_0 = orbit_elements.mean_motion
# A30 = -XJ3 * AE**3
if not(0 < self.eo < ECC_LIMIT_HIGH):
raise OrbitalError('Eccentricity out of range: %e' % self.eo)
elif not((0.0035 * 2 * np.pi / XMNPDA) < self.xn_0 < (18 * 2 * np.pi / XMNPDA)):
raise OrbitalError('Mean motion out of range: %e' % self.xn_0)
elif not(0 < self.xincl < np.pi):
raise OrbitalError('Inclination out of range: %e' % self.xincl)
if self.eo < 0:
self.mode = self.SGDP4_ZERO_ECC
return
self.cosIO = np.cos(self.xincl)
self.sinIO = np.sin(self.xincl)
theta2 = self.cosIO**2
theta4 = theta2 ** 2
self.x3thm1 = 3.0 * theta2 - 1.0
self.x1mth2 = 1.0 - theta2
self.x7thm1 = 7.0 * theta2 - 1.0
a1 = (XKE / self.xn_0) ** (2. / 3)
betao2 = 1.0 - self.eo**2
betao = np.sqrt(betao2)
temp0 = 1.5 * CK2 * self.x3thm1 / (betao * betao2)
del1 = temp0 / (a1**2)
a0 = a1 * \
(1.0 - del1 * (1.0 / 3.0 + del1 * (1.0 + del1 * 134.0 / 81.0)))
del0 = temp0 / (a0**2)
self.xnodp = self.xn_0 / (1.0 + del0)
self.aodp = (a0 / (1.0 - del0))
self.perigee = (self.aodp * (1.0 - self.eo) - AE) * XKMPER
self.apogee = (self.aodp * (1.0 + self.eo) - AE) * XKMPER
self.period = (2 * np.pi * 1440.0 / XMNPDA) / self.xnodp
if self.period >= 225:
# Deep-Space model
self.mode = SGDP4_DEEP_NORM
elif self.perigee < 220:
# Near-space, simplified equations
self.mode = SGDP4_NEAR_SIMP
else:
# Near-space, normal equations
self.mode = SGDP4_NEAR_NORM
if self.perigee < 156:
s4 = self.perigee - 78
if s4 < 20:
s4 = 20
qoms24 = ((120 - s4) * (AE / XKMPER))**4
s4 = (s4 / XKMPER + AE)
else:
s4 = KS
qoms24 = QOMS2T
pinvsq = 1.0 / (self.aodp**2 * betao2**2)
tsi = 1.0 / (self.aodp - s4)
self.eta = self.aodp * self.eo * tsi
etasq = self.eta**2
eeta = self.eo * self.eta
psisq = np.abs(1.0 - etasq)
coef = qoms24 * tsi**4
coef_1 = coef / psisq**3.5
self.c2 = (coef_1 * self.xnodp * (self.aodp *
(1.0 + 1.5 * etasq + eeta * (4.0 + etasq)) +
(0.75 * CK2) * tsi / psisq * self.x3thm1 *
(8.0 + 3.0 * etasq * (8.0 + etasq))))
self.c1 = self.bstar * self.c2
self.c4 = (2.0 * self.xnodp * coef_1 * self.aodp * betao2 * (
self.eta * (2.0 + 0.5 * etasq) + self.eo * (0.5 + 2.0 * etasq) - (2.0 * CK2) * tsi /
(self.aodp * psisq) * (-3.0 * self.x3thm1 * (1.0 - 2.0 * eeta + etasq * (1.5 - 0.5 * eeta)) +
0.75 * self.x1mth2 * (2.0 * etasq - eeta * (1.0 + etasq)) *
np.cos(2.0 * self.omegao))))
self.c5, self.c3, self.omgcof = 0.0, 0.0, 0.0
if self.mode == SGDP4_NEAR_NORM:
self.c5 = (2.0 * coef_1 * self.aodp * betao2 *
(1.0 + 2.75 * (etasq + eeta) + eeta * etasq))
if self.eo > ECC_ALL:
self.c3 = coef * tsi * A3OVK2 * \
self.xnodp * AE * self.sinIO / self.eo
self.omgcof = self.bstar * self.c3 * np.cos(self.omegao)
temp1 = 3.0 * CK2 * pinvsq * self.xnodp
temp2 = temp1 * CK2 * pinvsq
temp3 = 1.25 * CK4 * pinvsq**2 * self.xnodp
self.xmdot = (self.xnodp + (0.5 * temp1 * betao * self.x3thm1 + 0.0625 *
temp2 * betao * (13.0 - 78.0 * theta2 +
137.0 * theta4)))
x1m5th = 1.0 - 5.0 * theta2
self.omgdot = (-0.5 * temp1 * x1m5th + 0.0625 * temp2 *
(7.0 - 114.0 * theta2 + 395.0 * theta4) +
temp3 * (3.0 - 36.0 * theta2 + 49.0 * theta4))
xhdot1 = -temp1 * self.cosIO
self.xnodot = (xhdot1 + (0.5 * temp2 * (4.0 - 19.0 * theta2) +
2.0 * temp3 * (3.0 - 7.0 * theta2)) * self.cosIO)
if self.eo > ECC_ALL:
self.xmcof = (-(2. / 3) * AE) * coef * self.bstar / eeta
else:
self.xmcof = 0.0
self.xnodcf = 3.5 * betao2 * xhdot1 * self.c1
self.t2cof = 1.5 * self.c1
# Check for possible divide-by-zero for X/(1+cos(xincl)) when
# calculating xlcof */
temp0 = 1.0 + self.cosIO
if np.abs(temp0) < EPS_COS:
temp0 = np.sign(temp0) * EPS_COS
self.xlcof = 0.125 * A3OVK2 * self.sinIO * \
(3.0 + 5.0 * self.cosIO) / temp0
self.aycof = 0.25 * A3OVK2 * self.sinIO
self.cosXMO = np.cos(self.xmo)
self.sinXMO = np.sin(self.xmo)
self.delmo = (1.0 + self.eta * self.cosXMO)**3
if self.mode == SGDP4_NEAR_NORM:
c1sq = self.c1**2
self.d2 = 4.0 * self.aodp * tsi * c1sq
temp0 = self.d2 * tsi * self.c1 / 3.0
self.d3 = (17.0 * self.aodp + s4) * temp0
self.d4 = 0.5 * temp0 * self.aodp * tsi * \
(221.0 * self.aodp + 31.0 * s4) * self.c1
self.t3cof = self.d2 + 2.0 * c1sq
self.t4cof = 0.25 * \
(3.0 * self.d3 + self.c1 * (12.0 * self.d2 + 10.0 * c1sq))
self.t5cof = (0.2 * (3.0 * self.d4 + 12.0 * self.c1 * self.d3 + 6.0 * self.d2**2 +
15.0 * c1sq * (2.0 * self.d2 + c1sq)))
elif self.mode == SGDP4_DEEP_NORM:
raise NotImplementedError('Deep space calculations not supported')
def propagate(self, utc_time):
kep = {}
# get the time delta in minutes
# ts = astronomy._days(utc_time - self.t_0) * XMNPDA
# print utc_time.shape
# print self.t_0
utc_time = dt2np(utc_time)
ts = (utc_time - self.t_0) / np.timedelta64(1, 'm')
em = self.eo
xinc = self.xincl
xmp = self.xmo + self.xmdot * ts
xnode = self.xnodeo + ts * (self.xnodot + ts * self.xnodcf)
omega = self.omegao + self.omgdot * ts
if self.mode == SGDP4_ZERO_ECC:
raise NotImplementedError('Mode SGDP4_ZERO_ECC not implemented')
elif self.mode == SGDP4_NEAR_SIMP:
raise NotImplementedError('Mode "Near-space, simplified equations"'
' not implemented')
elif self.mode == SGDP4_NEAR_NORM:
delm = self.xmcof * \
((1.0 + self.eta * np.cos(xmp))**3 - self.delmo)
temp0 = ts * self.omgcof + delm
xmp += temp0
omega -= temp0
tempa = 1.0 - \
(ts *
(self.c1 + ts * (self.d2 + ts * (self.d3 + ts * self.d4))))
tempe = self.bstar * \
(self.c4 * ts + self.c5 * (np.sin(xmp) - self.sinXMO))
templ = ts * ts * \
(self.t2cof + ts *
(self.t3cof + ts * (self.t4cof + ts * self.t5cof)))
a = self.aodp * tempa**2
e = em - tempe
xl = xmp + omega + xnode + self.xnodp * templ
else:
raise NotImplementedError('Deep space calculations not supported')
if np.any(a < 1):
raise Exception('Satellite crashed at time %s', utc_time)
elif np.any(e < ECC_LIMIT_LOW):
raise ValueError('Satellite modified eccentricity too low: %s < %e'
% (str(e[e < ECC_LIMIT_LOW]), ECC_LIMIT_LOW))
e = np.where(e < ECC_EPS, ECC_EPS, e)
e = np.where(e > ECC_LIMIT_HIGH, ECC_LIMIT_HIGH, e)
beta2 = 1.0 - e**2
# Long period periodics
sinOMG = np.sin(omega)
cosOMG = np.cos(omega)
temp0 = 1.0 / (a * beta2)
axn = e * cosOMG
ayn = e * sinOMG + temp0 * self.aycof
xlt = xl + temp0 * self.xlcof * axn
elsq = axn**2 + ayn**2
if np.any(elsq >= 1):
raise Exception('e**2 >= 1 at %s', utc_time)
kep['ecc'] = np.sqrt(elsq)
epw = np.fmod(xlt - xnode, 2 * np.pi)
# needs a copy in case of an array
capu = np.array(epw)
maxnr = kep['ecc']
for i in range(10):
sinEPW = np.sin(epw)
cosEPW = np.cos(epw)
ecosE = axn * cosEPW + ayn * sinEPW
esinE = axn * sinEPW - ayn * cosEPW
f = capu - epw + esinE
if np.all(np.abs(f) < NR_EPS):
break
df = 1.0 - ecosE
# 1st order Newton-Raphson correction.
nr = f / df
# 2nd order Newton-Raphson correction.
nr = np.where(np.logical_and(i == 0, np.abs(nr) > 1.25 * maxnr),
np.sign(nr) * maxnr,
f / (df + 0.5 * esinE * nr))
epw += nr
# Short period preliminary quantities
temp0 = 1.0 - elsq
betal = np.sqrt(temp0)
pl = a * temp0
r = a * (1.0 - ecosE)
invR = 1.0 / r
temp2 = a * invR
temp3 = 1.0 / (1.0 + betal)
cosu = temp2 * (cosEPW - axn + ayn * esinE * temp3)
sinu = temp2 * (sinEPW - ayn - axn * esinE * temp3)
u = np.arctan2(sinu, cosu)
sin2u = 2.0 * sinu * cosu
cos2u = 2.0 * cosu**2 - 1.0
temp0 = 1.0 / pl
temp1 = CK2 * temp0
temp2 = temp1 * temp0
# Update for short term periodics to position terms.
rk = r * (1.0 - 1.5 * temp2 * betal * self.x3thm1) + \
0.5 * temp1 * self.x1mth2 * cos2u
uk = u - 0.25 * temp2 * self.x7thm1 * sin2u
xnodek = xnode + 1.5 * temp2 * self.cosIO * sin2u
xinck = xinc + 1.5 * temp2 * self.cosIO * self.sinIO * cos2u
if np.any(rk < 1):
raise Exception('Satellite crashed at time %s', utc_time)
temp0 = np.sqrt(a)
temp2 = XKE / (a * temp0)
rdotk = ((XKE * temp0 * esinE * invR - temp2 * temp1 * self.x1mth2 * sin2u) *
(XKMPER / AE * XMNPDA / 86400.0))
rfdotk = ((XKE * np.sqrt(pl) * invR + temp2 * temp1 *
(self.x1mth2 * cos2u + 1.5 * self.x3thm1)) *
(XKMPER / AE * XMNPDA / 86400.0))
kep['radius'] = rk * XKMPER / AE
kep['theta'] = uk
kep['eqinc'] = xinck
kep['ascn'] = xnodek
kep['argp'] = omega
kep['smjaxs'] = a * XKMPER / AE
kep['rdotk'] = rdotk
kep['rfdotk'] = rfdotk
return kep
def kep2xyz(kep):
sinT = np.sin(kep['theta'])
cosT = np.cos(kep['theta'])
sinI = np.sin(kep['eqinc'])
cosI = np.cos(kep['eqinc'])
sinS = np.sin(kep['ascn'])
cosS = np.cos(kep['ascn'])
xmx = -sinS * cosI
xmy = cosS * cosI
ux = xmx * sinT + cosS * cosT
uy = xmy * sinT + sinS * cosT
uz = sinI * sinT
x = kep['radius'] * ux
y = kep['radius'] * uy
z = kep['radius'] * uz
vx = xmx * cosT - cosS * sinT
vy = xmy * cosT - sinS * sinT
vz = sinI * cosT
v_x = kep['rdotk'] * ux + kep['rfdotk'] * vx
v_y = kep['rdotk'] * uy + kep['rfdotk'] * vy
v_z = kep['rdotk'] * uz + kep['rfdotk'] * vz
return np.array((x, y, z)), np.array((v_x, v_y, v_z))
if __name__ == "__main__":
obs_lon, obs_lat = np.deg2rad((12.4143, 55.9065))
obs_alt = 0.02
o = Orbital(satellite="METOP-B")
t_start = datetime.now()
t_stop = t_start + timedelta(minutes=20)
t = t_start
while t < t_stop:
t += timedelta(seconds=15)
lon, lat, alt = o.get_lonlatalt(t)
lon, lat = np.rad2deg((lon, lat))
az, el = o.get_observer_look(t, obs_lon, obs_lat, obs_alt)
ob = o.get_orbit_number(t, tbus_style=True)
print(az, el, ob)