An algorithm for 2D radar to ESM correlation based on fuzzy data association

The radar to Electronic Support Measurement (ESM) correlation problem is an important subject of military multi-sensory data fusion. This paper gives a new algorithm by using fuzzy data association algorithm. The simulation results demonstrate that the algorithm is both effective and practical.

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Bibliographic Details
Published in2011 Cross Strait Triple-Regional Radio Science and Wireless Technology Conference Vol. 2; pp. 1094 - 1097
Main Authors Gu En-Ting, Tan Yu-Lei, Yu Zhi-Cheng, Zhou Xi-Wa, Yu Yong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Correlation
data correlation
ESM
fuzzy c-means algorithm
fuzzy data association
Target tracking
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ISBN1424497922
9781424497928
DOI10.1109/CSQRWC.2011.6037149

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Summary:The radar to Electronic Support Measurement (ESM) correlation problem is an important subject of military multi-sensory data fusion. This paper gives a new algorithm by using fuzzy data association algorithm. The simulation results demonstrate that the algorithm is both effective and practical.
ISBN:1424497922
9781424497928
DOI:10.1109/CSQRWC.2011.6037149