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README.rst
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README.rst
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The Python ADS-B/Mode-S Decoder
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The Python ADS-B/Mode-S Decoder
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Python library for ADS-B/Mode-S message decoding. Supported Downlink Formats (DF) are:
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If you find this project useful for your research, please cite our work (bibtex format):
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::
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@article{sun2019pymodes,
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author={J. {Sun} and H. {V\^u} and J. {Ellerbroek} and J. M. {Hoekstra}},
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journal={IEEE Transactions on Intelligent Transportation Systems},
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title={pyModeS: Decoding Mode-S Surveillance Data for Open Air Transportation Research},
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year={2019},
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doi={10.1109/TITS.2019.2914770},
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ISSN={1524-9050},
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}
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Introduction
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---------------------
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PyModeS is a Python library designed to decode Mode-S (including ADS-B) message.
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Message with following Downlink Formats (DF) are supported:
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**DF17 / DF18: Automatic Dependent Surveillance - Broadcast (ADS-B)**
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**DF17 / DF18: Automatic Dependent Surveillance - Broadcast (ADS-B)**
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- BDS 1,0: Data link capability report
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- BDS 1,0: Data link capability report
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- BDS 1,7: Common usage GICB capability report
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- BDS 1,7: Common usage GICB capability report
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- BDS 2,0: Aircraft identification
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- BDS 2,0: Aircraft identification
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- BDS 2,1: Aircraft and airline registration markings
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- BDS 3,0: ACAS active resolution advisory
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- BDS 3,0: ACAS active resolution advisory
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- BDS 4,0: Selected vertical intention
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- BDS 4,0: Selected vertical intention
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- BDS 4,4: Meteorological routine air report
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- BDS 4,4: Meteorological routine air report (experimental)
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- BDS 4,5: Meteorological hazard report (experimental)
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- BDS 5,0: Track and turn report
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- BDS 5,0: Track and turn report
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- BDS 5,3: Air-referenced state vector
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- BDS 6,0: Heading and speed report
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- BDS 6,0: Heading and speed report
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**DF5 / DF21: Identity code (squawk code)**
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**DF5 / DF21: Identity code (squawk code)**
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Detailed manual on Mode-S decoding is published by the author, at:
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https://mode-s.org/decode
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Resources
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New features in v2.0
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---------------------
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- New structure of the libraries
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- ADS-B and Comm-B data streaming
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- Active aircraft viewing (terminal curses)
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- Improved BDS identification
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- Optimizing decoding speed
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Source code
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-----------
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-----------
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Checkout and contribute to this open-source project at:
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Checkout and contribute to this open-source project at:
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https://github.com/junzis/pyModeS
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https://github.com/junzis/pyModeS
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API documentation at:
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Detailed manual on Mode-S decoding is published at:
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https://mode-s.org/decode.
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API documentation of pyModeS is at:
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http://pymodes.readthedocs.io
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http://pymodes.readthedocs.io
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Install
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Install
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-------
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-------
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