Abstract

Due to the characteristics of small-size, low cost and high resolution, the millimeter-wave synthetic aperture radar (SAR) has the unique property during the high-resolution imagery of the observations. In this article, a millimeter-wave video synthetic aperture radar (ViSAR) imaging algorithm is proposed based on the micro platforms, which can constantly produce SAR images at a high frame rate and dynamically monitor a region of interest. In the scheme, an overlapped sub-aperture strategy is applied to segment data, and two-dimensional (2D) de-chirp processing is applied to each segmented data for high resolution imaging. Finally, the Chirp-Z transform (CZT) is utilized to resolve the distortion problem of SAR image. Experiments based on simulated and measured data verify the effectiveness of the proposed algorithm.

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