Improvement in Computation Time of 3-D Scattering Center Extraction Using the Shooting and Bouncing Ray Technique

We present a fast 3-D scattering center extraction algorithm using the shooting and bouncing ray technique. The proposed algorithm generates a 3-D inverse synthetic aperture radar image from which a set of 3-D scattering centers is then extracted using the CLEAN algorithm. In the conventional extrac...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2017-08, Vol.65 (8), p.4191-4199
Main Authors: Yun, Dal-Jae, Lee, Jae-In, Bae, Ky-Ung, Yoo, Ji-Hee, Kwon, Kyoung-Il, Myung, Noh-Hoon
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Automatic target recognition (ATR)
Bouncing
Computation
Computational modeling
Computer memory
Computer simulation
Convolution
Distortion
Extraction
Fourier analysis
Fourier transforms
Interpolation
Inverse synthetic aperture radar
inverse synthetic aperture radar (ISAR) image
Memory management
one-shot ISAR imaging scheme
Oversampling
Production scheduling
Radar imaging
Scattering
scattering center extraction
shooting and bouncing ray (SBR) technique
Solid modeling
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Summary:We present a fast 3-D scattering center extraction algorithm using the shooting and bouncing ray technique. The proposed algorithm generates a 3-D inverse synthetic aperture radar image from which a set of 3-D scattering centers is then extracted using the CLEAN algorithm. In the conventional extraction algorithm, computation time is improved using the fast Fourier transform (FFT)-based scheme. However, the memory requirement is greatly increased because of the high oversampling required to mitigate the interpolation error. Evaluation of memory-time tradeoffs indicates that the conventional algorithm is still too time consuming given the constraints of practical memory. Thus, a modified FFT-based scheme is proposed to improve computation time without increasing the memory requirement. Through modifying the ray spread function, the distortion from the interpolation error is mitigated without the use of high oversampling. Implementation based on the proposed FFT-based scheme accelerates the image formation process significantly. Numerical simulations of realistic targets are presented to demonstrate the performance of the proposed algorithm.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2017.2708078