Bistatic ISAR Image Reconstruction Using Sparse-Recovery-Interpolation of Missing Data
SCIE
SCOPUS
- Title
- Bistatic ISAR Image Reconstruction Using Sparse-Recovery-Interpolation of Missing Data
- Authors
- Bae, JH; Kang, BS; Lee, SH; Yang, E; Kim, KT
- Date Issued
- 2016-06
- Publisher
- IEEE
- Abstract
- When a bistatic inverse synthetic aperture radar (ISAR) system fails to collect complete radar cross section (RCS) datasets, bistatic ISAR (Bi-ISAR) images are usually corrupted using the conventional Fourier transform (FT)-based imaging algorithm. To overcome this problem, this paper proposes a new Bi-ISAR image reconstruction method that includes three steps: suboptimal estimation of parameters regarding the bistatic angle in the Bi-ISAR signal model via an orthogonal matching pursuit-type group-searching scheme, Bi-ISAR signal reconstruction using the estimated parameters, and Bi-ISAR image generation using the FT-based imaging algorithm applied to the reconstructed Bi-ISAR signal. To validate the reconstruction capability of the proposed method, bistatic-scattered field data using the physical optics technique as well as the point-scatterer model are used for Bi-ISAR image reconstruction. The results show that the proposed sparse-recovery-interpolation approach based on the Bi-ISAR signal model reconstruction combined with the classical FT-based algorithm can yield high reconstruction accuracy for incomplete bistatic RCS data compared to conventional numerical interpolation methods and existing direct sparse reconstruction techniques.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/37970
- DOI
- 10.1109/TAES.2016.150245
- ISSN
- 0018-9251
- Article Type
- Article
- Citation
- IEEE Transactions on Aerospace and Electronic Systems, vol. 52, no. 3, page. 1155 - 1167, 2016-06
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- There are no files associated with this item.
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