DocumentCode :
2268755
Title :
Multipath exploitation for radar target classification
Author :
Smith, Graeme E. ; Mobasseri, Bijan G.
Author_Institution :
Center for Adv. Commun., Villanova Univ., Villanova, PA, USA
fYear :
2012
fDate :
7-11 May 2012
Abstract :
Inclusion of multipath ghost target images, alongside direct target images, is shown to improve performance in radar target classification. When ultra wideband waveforms are employed there is sufficient range resolution that the components of the received signal relating to indirect paths appear as unique peaks. The additional returns result in a point spread function with peaks at locations other than that of the target - the ghosts. A method for localizing the ghosts is provided, and is then used to include the ghosts in target classification testing. A gain of up to 17% in classification performance is shown when the ghost targets are included. This study makes use of real radar data.
Keywords :
image classification; image resolution; radar imaging; radar resolution; direct target images; ghost localization method; multipath exploitation; multipath ghost target image inclusion; point spread function; radar target classification; range resolution; received signal; target classification testing; ultrawideband waveforms; Arrays; Delay; Imaging; Radar imaging; Signal to noise ratio; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RADAR), 2012 IEEE
Conference_Location :
Atlanta, GA
ISSN :
1097-5659
Print_ISBN :
978-1-4673-0656-0
Type :
conf
DOI :
10.1109/RADAR.2012.6212215
Filename :
6212215
Link To Document :
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