Bolidozor wiki

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====== ESA Summer of Code in Space 2019 - Idea List ======

Bolidozor is a project which is focused on radar detection of airspace and astronomy objects. The [[http://www.astro.cz/|Czech Astronomical Society]] partially support this project by donating storage space for our data.
We want to improve our data-mining abilities with software development supported by the European Space Agency.

===== Main goals =====

- Design algorithms and implement innovative technologies for astronomy observations in existed radio detection network.
   - Extend the existing system for collaboration of people in science in whole EU region.

Bolidozor project is meteor bolide detection network equipped by several types of radio detection stations.
RMDS02D and its predecessor [[en:rmds|RMDS01]] is a [[http://en.wikipedia.org/wiki/Software-defined_radio|SDR]] receiver system designed primarily for radio detection of meteor trails. Its advantage over other designs is a high-performance software defined receiver and completely open-source design, which brings advanced signal processing of radio images for everyone.  This system now has [[en:stations|several detection stations (see the map)]] in the Czech Republic and Slovakia. But technically it could be extended to other European countries.

{{ cs:rmds:rmds02d.jpg?direct&500 |Radio Meteor Detection Station RMDS02D}}

===== Tasks for SOCIS participants =====

A brief description of problems and description of initial task for qualifying of you for these SOCIS tasks. If you are interested in the tasks presented here please do not hesitate to contact us at bolidozor@googlegroups.com, we will explain your technical details.

==== Autonomous extraction and clasification of observed data ====

The Bolidozor network currently has the ability to observe different phenomena. Additionally, the same phenomena (meteor) has different [[en:data-outputs|data quality]].

=== Project details ===

An artificial intelligence algorithm for extraction and classification of event recordings is needed.

=== Expected results ===

A working tool which takes event recordings from the database, extract parameters needed for classification and separates usable data from noise data.

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