DocumentCode :
3398428
Title :
Dynamic multistatic synthetic aperture radar (DMSAR) with image reconstruction algorithms and analysis
Author :
Seetharaman, Guna S. ; Hayden, Eric T. ; Schmalz, Mark S. ; Chapman, William R. ; Ranka, Sanjay ; Sahni, Sartaj K.
Author_Institution :
Air Force Res. Lab., Rome, NY, USA
fYear :
2013
fDate :
23-25 Oct. 2013
Firstpage :
1
Lastpage :
9
Abstract :
The imaging of ground objects by circular synthetic aperture radar (CSAR) is a well-known technique that can benefit from the use of multiple receivers in a multistatic configuration. Although static receivers have been employed to determine the location of one or more airborne objects, the use of multiple dynamically positioned airborne receivers with an airborne transmitter represents a novel application of SAR technology for the detection of ground objects. This paper presents theory, algorithms, and experimental results for dynamic multistatic synthetic aperture radar (DMSAR) for airborne sensing of ground-based objects. We emphasize the proper placement of receivers in relationship to the transmitter and object area, in order to achieve a specific quality of image reconstruction. Additionally, we discuss performance issues pertaining to the computation of DMSAR on high-performance platforms such as clusters of graphics processing units or hybrid processors. Example results and analysis are taken from synthetic or public-domain data.
Keywords :
image reconstruction; object detection; radar imaging; radar receivers; radar transmitters; remote sensing by radar; synthetic aperture radar; CSAR; DMSAR; airborne ground-based object sensing; airborne transmitter; circular synthetic aperture radar; dynamic multistatic synthetic aperture radar; graphics processing units; ground object detection; ground object imaging; hybrid processors; image reconstruction algorithms; image reconstruction analysis; multiple dynamically positioned airborne receivers; static receivers; Arrays; History; Image reconstruction; Radar imaging; Receivers; Synthetic aperture radar; High-Performance Computing; Image Reconstruction; Synthetic Aperture Radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop (AIPR): Sensing for Control and Augmentation, 2013 IEEE
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/AIPR.2013.6749325
Filename :
6749325
Link To Document :
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