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README.md
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README.md
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**OwlPS** (_Owl Positioning System_) is a positioning (localization) system
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**OwlPS** (_Owl Positioning System_) is a positioning (localization) system
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based on the IEEE 802.11 radio network (Wi-Fi), targeting mainly indoor
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based on the IEEE 802.11 radio network (Wi-Fi), targeting mainly indoor
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environments. It uses an infrastructure-centred architecture, which means the
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environments. It uses an infrastructure-centred architecture, which means
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infrastructure does the measurements and computes the mobile terminals'
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deployed hardware takes care of the measurements and computes the mobile
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positions, rather than the terminals computing their own positions (as it is
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terminals' positions, rather than the terminals computing their own positions
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the case for instance with the GPS).
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(as it is the case for instance with the GPS).
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OwlPS implements various positioning techniques and algorithms based on the
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OwlPS implements various positioning techniques and algorithms based on the
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radio signal strength. It features a self-calibration (or autocalibration)
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radio signal strength. It features a self-calibration (or autocalibration)
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mechanism that avoids the time-consuming manual fingerprinting phase and allows
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mechanism that avoids the time-consuming manual fingerprinting phase and allows
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considering dynamic changes of the environment (human, climatic, etc.) when
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taking into account dynamic changes of the environment (human, climatic, etc.)
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computing the location of mobile terminals.
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when computing the location of mobile terminals.
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**This presentation is an excerpt of `doc/owlps.t2t`. Please refer to this file
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**This presentation is an excerpt of `doc/owlps.t2t`. Please refer to this file
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for a more in-depth introduction to OwlPS.**
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for a more in-depth introduction to OwlPS.**
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## News
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## News
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OwlPS is not currently actively maintained, as I'm not working on indoor
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OwlPS is not currently actively maintained, as I'm not working on indoor
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positioning at the moment, but I'll happily consider any contribution (or
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positioning at the moment, but I'll happily consider any patch (or job offer).
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job offer).
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The `CHANGELOG` file lists the changes that occurred in OwlPS, version by
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The `CHANGELOG` file lists the changes that occurred in OwlPS, version by
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version, since its early stages.
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version, since its early stages.
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@ -43,10 +42,11 @@ For a guide to installing OwlPS, please consult `INSTALL.t2t`.
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## License
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## License
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OwlPS is free software, released under the terms of the CeCILL license (GNU
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OwlPS is free software, released under the terms of the
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GPL-compatible). For more detail, please consult `COPYRIGHT.t2t`.
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[CeCILL](http://www.cecill.info/index.en.html) license (GNU GPL-compatible).
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For more detail, please consult `COPYRIGHT.t2t`.
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## Note on the t2t file extension
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## Note on the `t2t` file extension
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Most of the documentation in this repository is provided as text files in the
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Most of the documentation in this repository is provided as text files in the
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**txt2tags** format (`*.t2t` files). You can convert them to various formats
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**txt2tags** format (`*.t2t` files). You can convert them to various formats
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fingerprinting, and hybrid techniques). //OwlPS Listener// uses the
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fingerprinting, and hybrid techniques). //OwlPS Listener// uses the
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Radiotap header of the network packets to extract the RSS value. It
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Radiotap header of the network packets to extract the RSS value. It
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would be possible to extend the system to work with the TOF (Time of
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would be possible to extend the system to work with the TOF (Time of
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Flight, i.e. the signal propagation time), but that is out of scope for
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Flight, i.e. the signal propagation time), but that is out of scope for
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now (unless someone is willing to contribute).
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now (unless someone is willing to contribute).
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OwlPS features a self-calibration (or autocalibration) mechanism for
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OwlPS features a self-calibration (or autocalibration) mechanism for
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signal strength fingerprinting-based algorithms, that avoids the
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signal strength fingerprinting-based algorithms, that avoids the
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time-consuming manual fingerprinting phase and allows considering
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time-consuming manual fingerprinting phase and allows taking into
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dynamic changes of the environment (human, climatic, etc.) when
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account dynamic changes of the environment (human, climatic, etc.) when
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computing the location of mobile terminals.
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computing the location of mobile terminals.
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