DocumentCode :
2150712
Title :
Modeling of Complex Radar Target for High-Resolution Synthetic Aperture Radar Image Simulation Based on GRECO
Author :
Chen, Jie ; Li, Lin ; Li, Shaobin ; Li, Zhuo
Author_Institution :
Sch. of Electron. Inf. Eng., Beihang Univ., Beijing, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
The electromagnetic scattering models of complex radar targets, e.g. aircrafts, vehicles etc, are of great significance to Automatic Target Recognition (ATR) of Synthetic Aperture Radar (SAR) imagery. Based on the Graphical Electromagnetic Computing (GRECO) technique, a novel implementation method of complex radar target modeling for the simulation of high-resolution SAR image is proposed. The three-dimensional (3-D) scattering modeling of the complex radar targets is founded on the basis of GRECO. Furthermore, high-resolution SAR image simulation is implemented through echo simulation and image formation procedure with the 3D scatting data generated by using GRECO. Computer simulation results of an aircraft target are provided, with high-resolution millimeter wave SAR system parameters, which illustrate the radar image characteristics such as foreshortening, layover as well as shadowing. The datasets of simulated SAR images with different elevation and azimuth angles are presented, verifying the effectiveness of the method of the paper. The simulated high-resolution SAR images could be applied in ATR research as the input source data.
Keywords :
radar imaging; radar target recognition; synthetic aperture radar; 3D scattering modeling; GRECO; azimuth angles; complex radar target; echo simulation; electromagnetic scattering; high-resolution synthetic aperture radar image simulation; image formation; millimeter wave SAR system parameters; Airborne radar; Aircraft; Computational modeling; Electromagnetic modeling; Electromagnetic scattering; Millimeter wave radar; Radar imaging; Radar scattering; Synthetic aperture radar; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5303929
Filename :
5303929
Link To Document :
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