Metadata-Version: 2.1
Name: rnx
Version: 1.0.4
Summary: A library to read RINEX files
Home-page: https://gitlab.com/davidwoodburn/rnx
Author: David Woodburn
Author-email: david.woodburn@icloud.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# rnx

A Python library to read RINEX files.

This library is designed to read version 2.11 RINEX navigation ('N') and
observation ('O') files, specifically for GPS ('G') and mixed ('M') system data.

## Reading Data

First import the library:

```python
import rnx
```

To read a RINEX file, call the `read` function passing the name of the
navigation or observation file:

```python
nav = rnx.read("ohdt0710.22n")
obs = rnx.read("ohdt0710.22o")
```

The type of file (navigation or observation) is determined automatically by the
first line of the file contents, not by the extension.  You can also read both a
navigation file and its corresponding observation file in one command:

```python
nav, obs = rnx.read("ohdt0710.22n", "ohdt0710.22o")
```

This has the added benefit of mapping the ephemeris data from the navigation
object to the corresponding moments in time and space vehicles of the
observation object.  It creates a new attribute in the observation object called
`ephs`.

## Navigation Objects

The navigation object (`nav` in the above examples) has three main attributes:
the array of times of clock `t_oc` in GPS week seconds, the array of PRN numbers
for all GPS space vehicles found in the navigation file, and the matrix of
ephemerides `ephs` corresponding to each pairing of time and PRN.  The
relationship of these three attributes can be visualized as follows:

```
        .-------------------.
        |    |    |    |    | prns
        '-------------------'
.----.  .-------------------.
|    |  |    |    |    |    |
|----|  |----|----|----|----|
|    |  |    |    |    |    |
|----|  |----|----|----|----|
|    |  |    |    |    |    |
'----'  '-------------------'
t_oc                          ephs
```

Not all elements of the `ephs` matrix are populated.  In such cases, the value
of that element of the matrix is `None`.

Suppose we wish to get the time of clock, the PRN number, and the ephemeris for
the third space vehicle at the first moment in time.  Then we would write

```python
t = nav.t_oc[0]
prn = nav.prns[2]
eph = nav.ephs[0, 2]
```

Then, each ephemeris parameter is an attribute of `eph`.  As an example, if we
wanted the square root of the orbit semi-major axis radius, we would do

```python
eph.sqrtA
```

The complete set of attributes of `eph` are listed in the `EphG` class.  The
navigation object has an additional property which stores the date and time
stamp of the beginning of the GPS week corresponding to the first record in the
file: `ts_bow`.  So, if we wanted to get the timestamp of the kth moment in
time, we would do

```python
ts = nav.ts_bow + datetime.timedelta(seconds=nav.t_oc[k])
```

## Observation Objects

The observation object (`obs` in the opening examples) is organized in a manner
similar to navigation object.  The arrays of receiver times `t` in GPS week
seconds and receiver clock offsets `T_os` have as many elements as there are
rows in the observation matrices and the arrays of space vehicle names `svs`,
system letters `sys`, and space vehicle numbers `prns` have as many elements as
there are columns in the observation matrices:

```
              .-------------------.
              |    |    |    |    | sys
              :===================:
              |    |    |    |    | prns
              :===================:
              |    |    |    |    | svs
              '-------------------'
.----..----.  .-------------------.
|    ||    |  |    |    |    |    |
|----||----|  |----|----|----|----|
|    ||    |  |    |    |    |    |
|----||----|  |----|----|----|----|
|    ||    |  |    |    |    |    |
'----''----'  '-------------------'
t      T_os                         C1, L2, D5, wf1, ephs, etc.
```

The `sys` array stores the space vehicle's GNSS system letter (like 'G' for GPS
or 'R' for GLONASS).  The `prns` array stores the space vehicle's PRN number
(like 1 through 32 for GPS).  The `svs` array is the concatenation of the system
letter and the PRN number (like "G05").  You can find the column index of a
space vehicle by name with the `sv_ind` dictionary:

```python
j = obs.sv_ind["G05"]
```

Suppose we wish to get the receiver time, the event flag, the PRN number, the
GNSS system letter, and the L1 C/A pseudorange for the fifth space vehicle at
the third moment in time.  Then we would write

```python
t = obs.t[2]
prn = obs.prns[4]
sys = obs.sys[4]
C1 = obs.C1[2, 4]
```

A RINEX observation file does not necessarily hold every possible type of
observation.  The types are labeled with a letter and a frequency band number.
The possible band numbers are 1, 2, 5, 6, 7, and 8.  The possible letters are

Letter | Meaning           | Units
------ | ----------------- | ------
'C'    | C/A pseudorange   | m
'P'    | P(Y) pseudorange  | m
'L'    | Carrier phase     | cycles
'D'    | Doppler frequency | Hz
'S'    | Signal strength   | dB-Hz

(The units of signal strength are, in fact, receiver-dependent and might not be
dB-Hz.)  So, to access the C/A pseudorange from the L1 frequency of the jth
space vehicle at the kth moment in time, we would write

```python
rho = obs.C1[k, j]
```

Observation types which are nowhere defined within the RINEX file will still
exist as attributes of the observation object but will have a value of `None`.

To see if a space vehicle has any observation data at a given moment in time,
we can use the `is_vis` matrix:

```python
obs.is_vis[k, j]
```

This is a matrix of Boolean values (`True` or `False`).  Very similar to this,
the `vis_prn` matrix is `NaN` wherever `is_vis` is `False` and is equal to the
PRN of the space vehicle wherever `is_vis` is `True`.  So, we could plot the
visibility of space vehicles by PRN with

```python
import matplotlib.pyplot as plt
plt.plot(obs.t, obs.vis_prn)
```

Like with the navigation object, we can get the timestamp of the kth moment in
time by

```python
ts = obs.ts_bow + datetime.timedelta(seconds=obs.t[k])
```

When a navigation file is read in the same command as an observation file, the
observation object will get an additional attribute called `ephs`.  So, to get
the `C1` pseudorange and corresponding ephemeris for space vehicle `j` at time
`k`, we would write

```python
C1 = obs.C1[k, j]
eph = obs.ephs[k, j]
```

Additional attributes are described in the `Obs` class.

## Finding Data

Some sites from which RINEX files can be downloaded for free are

-   https://geodesy.noaa.gov/UFCORS/
-   https://gssc.esa.int/portal/
