A Composite Joint Sub-aperture Imaging along Nonlinear Trajectories

Conference Paper (2018)
Author(s)

Xuan Wang (TU Delft - Electrical Engineering, Mathematics and Computer Science, Beijing Institute of Technology)

Oleg Krasnov (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Jiahao Deng (Beijing Institute of Technology)

Dihn Tran (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Microwave Sensing, Signals & Systems
DOI related publication
https://doi.org/10.1049/cp.2017.0463
More Info
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Publication Year
2018
Language
English
Research Group
Microwave Sensing, Signals & Systems
Pages (from-to)
1-4
ISBN (print)
978-1-78561-673-0
ISBN (electronic)
978-1-78561-672-3
Event
Radar 2017: IET International Conference on Radar Systems (2017-10-23 - 2017-10-26), Belfast Waterfront Conference Centre, Belfast, United Kingdom
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161

Abstract

In this paper, an imaging algorithm for the airborne radar system maneuvering along an arbitrary trajectory is proposed. The algorithm aims at wide-angle imaging with incomplete measurements from the nonlinear trajectory. The proposed composite joint sub-aperture imaging algorithm provides high reconstruction quality and supports efficient data collection policy. The image can be reconstructed by combining image patches corresponding to non-overlapping sub-apertures. The image patch is obtained by compressive sensing with joint sparse representation of the scene. Numerical results have proved that the proposed algorithm is highly effective and capable of image reconstruction without much loss in quality, especially on objects signature and contour.