A fast autofocus algorithm for synthetic aperture radar processing

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    High-resolution synthetic aperture radar (SAR) imaging requires the motion of the radar platform to be known very accurately. Otherwise, phase errors are induced in the processing of the raw SAR data, and bad focusing results. In particular, a constant error in the measured along-track velocity or the cross-track acceleration leads to a phase error that varies quadratically over the synthetic aperture. The process of estimating this quadratic phase error directly from the radar data is termed autofocus. A novel autofocus algorithm with a computational complexity which is at least an order of magnitude lower than that of other algorithms providing comparable accuracies is presented. The algorithm has been tested on data from the Danish Airborne SAR, and the performance is compared with that of the traditional map drift algorithm
    Original languageEnglish
    JournalI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
    Pages (from-to)5 - 8
    Publication statusPublished - 1992
    EventIEEE International Conference on Acoustics, Speech, and Signal Processing - San Francisco, United States
    Duration: 23 Mar 199226 Mar 1992


    ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing
    Country/TerritoryUnited States
    CitySan Francisco

    Bibliographical note

    Copyright: 1992 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE


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