DocumentCode :
3489722
Title :
Resonance based radar target identification using principal component analysis
Author :
Chen, W.C. ; Shuley, N.
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD
fYear :
2008
fDate :
16-20 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, a novel technique, based on principal component analysis (PCA), is used to enhance the resonance based target identification process. PCA is used to combine the backscattered signatures of the target from different incident aspect angles. The dominant CNRs of the target are then extracted from the fused signature.
Keywords :
backscatter; object detection; principal component analysis; radar detection; radar target recognition; CNR; backscattered signatures; complex natural resonances; fused signature extraction; principal component analysis; radar target identification; resonance enhancement; Australia; Data mining; Dielectric losses; Electromagnetic scattering; Information technology; Mechanical factors; Polarization; Principal component analysis; Radar theory; Resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Conference, 2008. APMC 2008. Asia-Pacific
Conference_Location :
Macau
Print_ISBN :
978-1-4244-2641-6
Electronic_ISBN :
978-1-4244-2642-3
Type :
conf
DOI :
10.1109/APMC.2008.4958454
Filename :
4958454
Link To Document :
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