ISAR imaging of non-cooperative objects with non-uniform rotational motion

Risto Vehmas, Juha Jylhä, Minna Väilä, Ari Visa

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

    6 Citations (Scopus)


    In this paper, we propose data-driven optimization techniques for enhancing the ISAR image reconstruction process. We utilize keystone formatting to compensate for the range cell migration caused by the rotational motion and the well-established technique based on time-frequency signal analysis for the ISAR image reconstruction. The proposed optimization method for the keystone formatting determines the optimal slow-time window for the operation by minimizing a loss function depending on the contrast of the sum envelope of the range compressed signal. The optimization procedure proposed for the Cohen's class time-frequency representation determines an optimal kernel function by maximizing the contrast of the intensity normalized ISAR image function. In addition, we utilize the time-frequency reassignment method to enhance the contrast of the ISAR image. The algorithms are illustrated with a numerical example, which indicates that our methodology can be used to increase the performance of the non-cooperative ISAR imaging process.
    Original languageEnglish
    Title of host publication2016 IEEE Radar Conference (RadarConf)
    ISBN (Print)978-1-5090-0863-6
    Publication statusPublished - May 2016
    Publication typeA4 Article in conference proceedings
    EventIEEE Radar Conference -
    Duration: 1 Jan 1900 → …

    Publication series

    ISSN (Electronic)2375-5318


    ConferenceIEEE Radar Conference
    Period1/01/00 → …


    • inverse synthetic aperture radar
    • radar imaging
    • radar signal processing

    Publication forum classification

    • Publication forum level 1


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