Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/86054
Title: Maneuvering target imaging and scaling by using sparse inverse synthetic aperture
Authors: Xu, Gang
Yang, Lei
Bi, Guoan
Xing, Mengdao
Keywords: Inverse Synthetic Aperture Radar (ISAR)
Sparse Aperture (SA)
Issue Date: 2017
Source: Xu, G., Yang, L., Bi, G., & Xing, M. (2017). Maneuvering target imaging and scaling by using sparse inverse synthetic aperture. Signal Processing, 137, 149-159.
Series/Report no.: Signal Processing
Abstract: In recent years, there have been increasing interests in addressing the issue of high-resolution inverse synthetic aperture radar (ISAR) imaging from sparse aperture (SA) data. The non-uniform rotation property of maneuvering target introduces non-stationary echo modulation to exhibit two-dimensional (2-D) migration through resolution cells (MTRC), which increases the difficulty of SA-ISAR imaging. In this paper, we focus on ISAR imaging and scaling of maneuvering target for effective MTRC correction and SA synthesis. Under a scaled non-uniform Fourier dictionary to include MTRC, SA maneuvering target imaging is formatted as sparse representation with maximum a posterior (MAP) estimation. Then, sparse ISAR imaging joint with parameter estimation is solved by using a two-step procedure. The estimated rational parameters are used to rescale the reconstructed ISAR image to extract the 2-D target geometry. Finally, the experiments based on simulated and measured data are performed to confirm the effectiveness of the proposed algorithm.
URI: https://hdl.handle.net/10356/86054
http://hdl.handle.net/10220/43926
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2017.01.016
Rights: © 2017 Elsevier B.V.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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