Research and Application of Radar Detection Error Model based on Data Mining

Jun Song

Abstract

Aiming at the problem of establishing a radar detection error model, this paper proposes a method, which uses SQL Server 2005 as a data mining implement and selects decision tree algorithm, based on lots of detected data of the radar. This radar detection error model is used to forecast the detection error in a radar simulation. The result of comparing with the traditional error simulation method shows that the method based on the data mining is an efficient approach for analysis, modeling and forecast of the radar detection error.

References

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Paper Citation


in Harvard Style

Song J. (2016). Research and Application of Radar Detection Error Model based on Data Mining . In ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME, ISBN 978-989-758-208-0, pages 294-298. DOI: 10.5220/0006449302940298


in Bibtex Style

@conference{isme16,
author={Jun Song},
title={Research and Application of Radar Detection Error Model based on Data Mining},
booktitle={ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,},
year={2016},
pages={294-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006449302940298},
isbn={978-989-758-208-0},
}


in EndNote Style

TY - CONF
JO - ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,
TI - Research and Application of Radar Detection Error Model based on Data Mining
SN - 978-989-758-208-0
AU - Song J.
PY - 2016
SP - 294
EP - 298
DO - 10.5220/0006449302940298