DocumentCode :
2656449
Title :
Recognition techniques and feature extraction for space targets based on RCS
Author :
Anjun, Zhao ; Wei, Niu ; Lei, Guo
Author_Institution :
Dept. of Info-control, Xian Univ. of Archit. & Technol., Xian
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
426
Lastpage :
429
Abstract :
Radar recognition of space targets has gained popularity for space surveillance and peaceful uses of outer space. RCS of Space Object is nonstationary time-series, feature extracting and identification from RCS is difficult using commonly methods. Considering the changing regular of RCS reflecting figure of space target, this paper presents a novel method of space target recognition for attitude characteristics. The method makes use of CWT and fuzzy Decision to extract feature of RCS and classificate. The result shows that 90% of recognition rate is achieved when this method is applied to practical data.
Keywords :
feature extraction; radar cross-sections; radar signal processing; wavelet transforms; attitude characteristics; continuous wavelet transform; feature extraction; fuzzy decision; nonstationary time-series; outer space target recognition; radar cross section; radar recognition; recognition rate; space object; space surveillance; Aerospace control; Continuous wavelet transforms; Data mining; Electronic mail; Feature extraction; Peace technology; Radar cross section; Space technology; Spaceborne radar; Target recognition; CWT; Radar Cross Section; Space Targets; Target Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4604950
Filename :
4604950
Link To Document :
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