18 March 2016 Inverse synthetic aperture radar imaging of maneuvering target based on cubic chirps model with time-varying amplitudes
Yong Wang, Qingxiang Zhang, Bin Zhao
Author Affiliations +
Abstract
Inverse synthetic aperture radar (ISAR) imaging of maneuvering target is a main topic in the field of radar signal processing, and the received signal in a range bin can usually be characterized as multicomponent cubic chirps with constant amplitudes after motion compensation. In fact, the phenomenon of migration through resolution cell (MTRC) often occurs for the target’s complex motion, and this will induce the time-varying character for the amplitudes of cubic chirps. An algorithm for the parameters estimation of multicomponent cubic chirps with time-varying amplitudes based on the extension form of match Fourier transform is proposed, and by using it in ISAR imaging of maneuvering target, the quality of images can be improved significantly compared with the constant amplitudes model. Results of simulated and real data validate the effectiveness of the algorithm in this paper.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2016/$25.00 © 2016 SPIE
Yong Wang, Qingxiang Zhang, and Bin Zhao "Inverse synthetic aperture radar imaging of maneuvering target based on cubic chirps model with time-varying amplitudes," Journal of Applied Remote Sensing 10(1), 015021 (18 March 2016). https://doi.org/10.1117/1.JRS.10.015021
Published: 18 March 2016
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Cited by 1 scholarly publication.
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KEYWORDS
Detection and tracking algorithms

Radar imaging

Fourier transforms

Synthetic aperture radar

Image quality

Motion models

Computer simulations

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