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Python package for handling RINEX version 2.1x and 3.x, regardless of number of systems in the data.

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RinPy Repository

Python package for handling RINEX version 2.1x and 3.x, regardless of number of systems in the data.

Author: Joakim Strandberg

Installation

python setup.py develop

Usage

RinPy can be use used to read data from a RINEX file and store it in numpy's compressed npz-format, or to load it directly into the workspace.

To load into memory and plot GPS SNR data for the L1 signal for satellite with PRN number 20:

import rinpy
from matplotlib import pyplot as plt

observationdata, systemsatlists, prntoidx, obstypes, header, obstimes = rinpy.processrinexfile('GTGU2000.15o')
snr_idx = [idx for idx, type in enumerate(obstypes['G']) if 'S1' in type][0]

plt.plot(obstimes, observationdata['G'][:, prntoidx['G'][20], snr_idx])
plt.xlabel('Time')
plt.ylabel('SNR')
plt.show()

SNR plot

The data for each observable can also be separated into dicts with the help of the function 'separateobservables'. I.e, an equivalent way of writing the previous code snippet would be:

import rinpy
from matplotlib import pyplot as plt

observationdata, systemsatlists, prntoidx, obstypes, header, obstimes = rinpy.processrinexfile('GTGU2000.15o')
observationdata = separateobservables(observationdata, obstypes)

plt.plot(obstimes, observationdata['G']['S1'][:, prntoidx['G'][20]])
# S1 must be changed to S1C if RINEX v3 is used.
plt.xlabel('Time')
plt.ylabel('SNR')
plt.show()

Saving to and loading from file:

import rinpy

rinpy.processrinexfile('GTGU2000.15o', 'GTGU2000.15o.npz')
observationdata, systemsatlists, prntoidx, obstypes, header, obstimes = rinpy.loadrinexfromnpz('GTGU2000.15o.npz')

Each of the outputs from rinpy.processrinexfile and rinpy.loadrinexfromnpz are dicts where the keys are the system letters used in the RINEX format, e.g.:

  • G - for GPS
  • R - for GLONASS
  • E - for Galileo
  • S - for SBAS

For example obstypes['R'] gives a list of observables for the GLONASS system.

About

The code in this package is part of a larger code written for analysing GNSS SNR data for GNSS reflectometry, and is part of the work made for the paper:

Strandberg, J., T. Hobiger, and R. Haas (2016), Improving GNSS-R sea level determination through inverse modeling of SNR data, Radio Science, 51, 1286–1296, doi:10.1002/2016RS006057.

License

RinPy is licensed under the MIT license - see the LICENSE file.

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Python package for handling RINEX version 2.1x and 3.x, regardless of number of systems in the data.

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