Document Type
Conference Paper
Publication Date
5-3-2017
Publication Source
Algorithms for Synthetic Aperture Radar Imagery XXIV
Abstract
Traditional synthetic aperture radar (SAR) systems tend to discard phase information of formed complex radar imagery prior to automatic target recognition (ATR). This practice has historically been driven by available hardware storage, processing capabilities, and data link capacity. Recent advances in high performance computing (HPC) have enabled extremely dense storage and processing solutions. Therefore, previous motives for discarding radar phase information in ATR applications have been mitigated. First, we characterize the value of phase in one-dimensional (1-D) radar range profiles with respect to the ability to correctly estimate target features, which are currently employed in ATR algorithms for target discrimination. These features correspond to physical characteristics of targets through radio frequency (RF) scattering phenomenology. Physics-based electromagnetic scattering models developed from the geometrical theory of diffraction are utilized for the information analysis presented here. Information is quantified by the error of target parameter estimates from noisy radar signals when phase is either retained or discarded. Operating conditions (OCs) of signal-tonoise ratio (SNR) and bandwidth are considered. Second, we investigate the value of phase in 1-D radar returns with respect to the ability to correctly classify canonical targets. Classification performance is evaluated via logistic regression for three targets (sphere, plate, tophat). Phase information is demonstrated to improve radar target classification rates, particularly at low SNRs and low bandwidths.
ISBN/ISSN
9781510609037
Document Version
Published Version
Copyright
Copyright © 2017, Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
Publisher
Society of Photo-Optical Instrumentation Engineers (SPIE)
Volume
10201
Peer Reviewed
yes
eCommons Citation
Moore, Linda J.; Rigling, Brian D.; Penno, Robert; and Zelnio, Edmund G., "Using Phase for Radar Scatterer Classification" (2017). Electrical and Computer Engineering Faculty Publications. 412.
https://ecommons.udayton.edu/ece_fac_pub/412
Comments
One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
DOI: https://doi.org/10.1117/12.2267832
Permission documentation is on file.