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Journal of Applied Remote Sensing

Two-dimensional superresolution multiple-input multiple-output and inverse synthetic aperture radar imaging based on spatial frequency ambiguity resolving
Author(s): Jianchao Yang; Weimin Su; Hong Gu
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Paper Abstract

Combining multiple-input multiple-output (MIMO) radar and inverse synthetic aperture radar (ISAR) techniques can reduce the number of antennas used and shorten the radar integrated time compared with the single-channel ISAR for the same cross-range resolution. In existing MIMO-ISAR processing, the echoes of different sensors are rearranged into an equivalent single-channel ISAR signal. A new method without echo rearrangement is proposed for two-dimensional (2-D) MIMO-ISAR imaging. A 2-D frequency estimation algorithm based on Unitary ESPRIT and projection transformation is used to obtain the spatial and Doppler frequencies of scatterers, and a high cross-range resolution can be achieved. The relationship between the two frequencies is exploited to resolve the ambiguity of spatial frequency. The analysis and simulation results show that, compared with the existing method, the proposed method can decrease the relative rotation angle (or integrated time) required for imaging. Thus, this method is more suitable for imaging targets with limited rotation or high maneuvering.

Paper Details

Date Published: 2 March 2015
PDF: 13 pages
J. Appl. Remote Sens. 9(1) 095090 doi: 10.1117/1.JRS.9.095090
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Jianchao Yang, Nanjing Univ. of Science and Technology (China)
Weimin Su, Nanjing Univ. of Science and Technology (China)
Hong Gu, Nanjing Univ. of Science and Technology (China)

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