Airborne SAR Moving Target Signatures and Imagery Based on LVD

Lei Yang, Guoan Bi, Mengdao Xing, Liren Zhang

    Research output: Contribution to journalArticlepeer-review

    49 Citations (Scopus)


    This paper presents a new ground moving target imaging (GMTIm) algorithm for airborne synthetic aperture radar (SAR) based on a novel time-frequency representation (TFR), Lv's distribution (LVD). We first analyze generic moving target signatures for a multichannel SAR and then derive the analytical spectrum of a point target moving at a constant velocity by a polar format algorithm for SAR image formation. SAR motion deviation from a predetermined flight track is considered to facilitate airborne SAR applications. LVD, as a recently developed TFR for the analysis of multicomponent linear-frequency-modulated signal, is adopted to represent the target kinematic spectrum in the Doppler centroid frequency and chirp rate domain. As a result, the proposed SAR-GMTIm algorithm is capable of imaging multiple moving targets even when they are located at the same range resolution cell. Some practical issues such as imaging maneuvering targets and small/weak targets are discussed to enhance the applicability of the proposed algorithm. Simulation results with isotropic point moving targets are presented to validate the effectiveness and superiority of the proposed algorithm. Raw data collected by an airborne multichannel SAR are also used to verify the performance improvement made by the proposed algorithm.

    Original languageEnglish
    Article number7150388
    Pages (from-to)5958-5971
    Number of pages14
    JournalIEEE Transactions on Geoscience and Remote Sensing
    Issue number11
    Publication statusPublished - Nov 1 2015


    • Ground moving target imaging (GMTIm)
    • Lv's distribution (LVD)
    • Time-frequency representation (TFR)
    • synthetic aperture radar (SAR)

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • General Earth and Planetary Sciences


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