ISAR imaging method of radar target with short-term observation based on ESPRIT

A 2-D Inverse synthetic aperture radar (ISAR) imaging method is proposed, which only requires a short period of time for target observation. Typically, a long period of observing time is necessary to achieve high cross-range resolution in ISAR imaging since a wide observing angle is critical. However, long-term observation accompanies disadvantage in discriminating the target especially when the target has complicated motion. In this paper, we propose a 2-D ISAR imaging method with short-term observation. The down-range of scatterers is obtained by inverse fast Fourier transform (IFFT) and the cross-range of scatterers is obtained by estimation of signal parameters via rotational invariance technique (ESPRIT). To improve computational efficiency, we sort out the signal region and noise region with a certain threshold level and then the ESPRIT method is only applied to the signal region. A set of simulated and measured data of Boeing 727 as an aircraft target is used to validate the proposed imaging method in this paper. By adopting the proposed method, the required observation time of target can be reduced to 12.5%.
Publisher
TAYLOR & FRANCIS LTD
Issue Date
2018-03
Language
English
Article Type
Article
Keywords

UNIFORMLY ROTATING TARGETS; ALGORITHM

Citation

JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, v.32, no.8, pp.1040 - 1051

ISSN
0920-5071
DOI
10.1080/09205071.2018.1429323
URI
http://hdl.handle.net/10203/241346
Appears in Collection
EE-Journal Papers(저널논문)
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