A Fused-Lasso-Based Doppler Imaging Algorithm for Spinning Targets With Occlusion Effect

作者: Ling Hong , Fengzhou Dai , Hongwei Liu

DOI: 10.1109/JSEN.2016.2522405

关键词:

摘要: The occlusion effect of targets with the spinning motion is usually ubiquitous when illuminated by radar. Considering this in a single range Doppler imaging for practical significance. In paper, we develop novel approach to image effect, which referred as fused-Lasso-based Doppler-only snapshot imaging. Due motion, radar illuminates different parts target at each observation instant, causes backscattering intensities scatterers, are slowly time-varying. 2D fused-Lasso model introduced capture time-varying characteristic. Furthermore, underlying factors performance thoughtfully analyzed. proposed method able adaptively estimate shadowed region, do imaging, and work well low pulse repetition frequency situations. Finally, series simulations carried out validate method.

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