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

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


Original languageEnglish
Title of host publication12th European Conference on Synthetic Aperture Radar
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


ConferenceEuropean Conference on Synthetic Aperture Radar


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.

Publication forum classification

Field of science, Statistics Finland