• Stars
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    467
  • Rank 91,820 (Top 2 %)
  • Language
    Python
  • Created over 9 years ago
  • Updated about 2 months ago

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Repository Details

A set of tools to parse Iridium frames

Simple toolkit to decode Iridium signals

Requisites

  • Python (3.7+) (may work with older 3.x, but this is untested)
  • NumPy (scipy)
  • crcmod

License

Unless otherwise noted in a file, everything here is (c) Sec & schneider and licensed under the 2-Clause BSD License

Example usage

Either extract some Iridium frames from the air or a file using gr-iridium (recommended) or use the legacy code located in the extractror-python directory if you don't want to install GNURadio (not recommended).

It is assumed that the output of the extractor has been written to output.bits. Iridium frames can be decoded with

python3 iridium-parser.py -p output.bits

if you want to speed up that step you can install pypy and instead run

pypy3 iridium-parser.py -p output.bits

Frame extraction

See gr-iridium (recommended) or extractor-python (not recommended) on how to extract Iridium frames from raw data.

Voice Decoding

To listen to voice calls, you will need an AMBE decoder. There are two option:

The easier option is to use tnt's AMBE decoder. You can use the extracted decoder if you want to create bit correct output. There almost no audible difference between the two options. Make sure that either ir77_ambe_decode or ambe is in your PATH. Also select the installed one in play-iridium-ambe.

Make sure that the main folder of the toolkit is in your PATH variable: export PATH=$PATH:<this directory>

Steps to decode voice:

  • Decode your captured and demodulated bits using iridium-parser and put the result into a file: pypy iridium-parser.py output.bits > output.parsed
  • Use stats-voc.py to see streams of captured voice frames: ./stats-voc.py output.parsed
  • Click once left and once right to select an area. stats-voc.py will try do decode and play the selected samples using the play-iridium-ambe script.

Frame Format

Partial documentation: http://wiki.muc.ccc.de/iridium:toolkit#frame_format

Main Components

Parser

iridium-parser.py

Takes the demodulated bits and tries to parse them into a readable format.

Usage: (it is assumed that the output from gr-iridium is in output.bits)

iridium-parser.py [-p] [--harder] output.bits > output.parsed

Some Options:

  • -p - Only output frames parsed without errors (and error-correction)
  • --harder - Try extra hard to decode with the use of error-correction (very slow)
  • --uw-ec - Try to parse lines with errors inside iridium unique word (also slow)
  • --filter <classname> - Only decode frames of that class (e.g. IridiumRAMessage, IridiumBCMessage, etc.) (fast)

mkkml

mkkml

Converts IRA frames to a kml file to be viewed in google earth.

Run as grep ^IRA output.parsed |perl mkkml tracks > output.kml to display satellite tracks

Run as grep ^IRA output.parsed |perl mkkml heatmap > output.kml to create a heatmap of sat positions and downlink positions

Reassembler

reassembler.py

Takes the parsed bits (from iridium-parser.py) and reassembles them into higher level protocols.

Supports different modes with the -m option.

Usage: (it is assumed that the output from iridium-parser is in output.parsed)

reassembler.py -i output.parsed -m <mode>

Supported modes are currently:

  • ida - outputs Um Layer 3 messages as hex
  • idapp - same as above with some light parsing/pretty-printing
  • lap - GSM-compatible L3 messages as GSMtap compatible .pcap
  • page - paging requests (Ring Alert Channel)
  • msg - Pager messages
  • sbd - Short Burst Data messages
  • acars - parsed ACARS SBD messages
  • ppm - estimation of receiving SDRs PPM frequency offset

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