DocumentCode :
3402635
Title :
Efficient target identification for MIMO high-resolution imaging radar via plane-rotation-invariant feature
Author :
Wang, Dang-Wei ; Chen, Gang ; Wu, Ning ; Ma, Xiao-Yan
Author_Institution :
Dept. of Air/Space-based Early Warning Surveillance Equip., Wuhan Radar Acad., Wuhan, China
fYear :
2009
fDate :
14-17 Dec. 2009
Firstpage :
350
Lastpage :
354
Abstract :
Target identification has been an active researching area in past decades. In this paper, we present an identification method based on the high-resolution image from a narrowband multiple-input multiple-output (NMIMO) imaging radar system. Different from the traditional image-based method, the key idea of the proposed method is to build the plane-rotation-invariance features of a candidate target with its location parameters of 2-D scatterers, regardless of the amplitude information of a 2-D scatterer. Numerical examples are presented for testing our method.
Keywords :
MIMO radar; object detection; radar imaging; MIMO radar; narrowband multiple input multiple output; plane rotation invariant feature; radar imaging system; target identification; Degradation; High-resolution imaging; Image resolution; Image sampling; MIMO; Matching pursuit algorithms; Narrowband; Radar imaging; Radar scattering; Scattering parameters; imaging; multiple-input multiple-output; target identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on
Conference_Location :
Ajman
Print_ISBN :
978-1-4244-5949-0
Type :
conf
DOI :
10.1109/ISSPIT.2009.5407562
Filename :
5407562
Link To Document :
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