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To implement target detection,tracking and imaging in a multifunctional radar system,the wideband measurements for inverse synthetic aperture radar(ISAR)imaging are usually sparsely recorded.Considering the incoherence problem in such sparse-aperture ISAR(SA-ISAR)systems,we concentrate on the study of a coherent processing method in this work.Based on an all-pole model,the incoherence parameters between abutting sub-apertures can be effectively estimated.After coherence compensation,an optimization-based SAISAR imaging approach is provided from the view of statistics.Simulation and real data experiments validate the feasibility and effectiveness of the proposals.
To implement target detection, tracking and imaging in a multifunctional radar system, the wideband measurements for inverse synthetic aperture radar (ISAR) imaging are usually sparsely recorded. Problems in the incoherence problem in such sparse-aperture ISAR (SA-ISAR) systems, we concentrate on the study of a coherent processing method in this work. Based on an all-pole model, the incoherence parameters between abutting sub-apertures can be effectively estimated. After coherence compensation, an optimization-based SAISAR imaging approach is provided from the view of statistics.Simulation and real data experiments validate the feasibility and effectiveness of the proposals.