A Contrast Optimization Algorithm for Back-Projection Image Reconstruction in Noncooperative ISAR Imaging

Risto Vehmas, Juha Jylhä

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Abstract

    We consider very high-resolution inverse synthetic aperture radar (ISAR) imaging of noncooperative objects exhibiting challenging unknown motions using the time domain back-projection algorithm for image reconstruction. We propose a contrast optimization approach for the data-driven motion compensation problem, in which a novel approach using the derivatives of the loss function is utilized in the optimization. The translation and the rotation of the object are estimated simultaneously using first order numerical optimization. In numerical experiments, the proposed optimization approach was able to estimate highly nonlinear translational and rotational motions producing well-focused ISAR images.
    Original languageEnglish
    Title of host publication12th European Conference on Synthetic Aperture Radar
    PublisherVDE
    Pages464-469
    Number of pages6
    ISBN (Print)978-3-8007-4636-1
    Publication statusPublished - Jun 2018
    Publication typeA4 Article in a conference publication
    EventEuropean Conference on Synthetic Aperture Radar - Aachen, Germany
    Duration: 4 Jun 20187 Jun 2018

    Conference

    ConferenceEuropean Conference on Synthetic Aperture Radar
    CountryGermany
    CityAachen
    Period4/06/187/06/18

    Publication forum classification

    • Publication forum level 1

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