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.
Original languageEnglish
Title of host publicationThe IET International Conference on Radar Systems 2017
PublisherIET
Pages1-4
Number of pages4
ISBN (Electronic)978-1-78561-672-3
ISBN (Print)978-1-78561-673-0
DOIs
Publication statusPublished - 2018
EventRadar 2017: IET International Conference on Radar Systems - Belfast Waterfront Conference Centre, Belfast, United Kingdom
Duration: 23 Oct 201726 Oct 2017
http://events.theiet.org/radar/index.cfm

Conference

ConferenceRadar 2017: IET International Conference on Radar Systems
CountryUnited Kingdom
CityBelfast
Period23/10/1726/10/17
Internet address

    Research areas

  • Joint Sparsity, Compressive Sensing, Non-linear trajectory, Radar Imaging

ID: 34057601