Implementation Method of Automotive Video SAR (ViSAR) Based on Sub-Aperture Spectrum Fusion

The automotive synthetic aperture radar (SAR) can obtain two-dimensional (2-D) high-resolution images and has good robustness compared with the other sensors. Generally, the 2-D high-resolution always conflicts with the real-time requirement in conventional SAR imaging. This article suggests an automotive video SAR (ViSAR) imaging technique based on sub-aperture spectrum fusion to address this issue. Firstly, the scene space variation problem caused by close observation distance in automotive SAR is analyzed. Moreover, the sub-aperture implementation method, frame rate and resolution of automotive ViSAR are also introduced. Then, the improved Range Doppler algorithm (RDA) is used to focus the sub-aperture data. Finally, a sub-aperture stitching strategy is proposed to obtain a high-resolution frame image. Compared with the available ViSAR imaging method, the proposed method is more efficient, performs better, and is more appropriate for automotive ViSAR. The simulation results and actual data of the automotive SAR validate the effectiveness of the proposed method.

Automated summary

This article proposes an automotive video SAR (ViSAR) imaging technique based on sub-aperture spectrum fusion to address the conflict between 2-D high-resolution and real-time requirement in conventional SAR imaging. It analyzes the scene space variation problem caused by close observation distance in automotive SAR and introduces the sub-aperture implementation method, frame rate, and resolution of automotive ViSAR. The improved Range Doppler algorithm (RDA) is used to focus the sub-aperture data, and a sub-aperture stitching strategy is proposed to obtain a high-resolution frame image. Compared to existing ViSAR imaging methods, the proposed method is more efficient, performs better, and is more suitable for automotive ViSAR. The simulation results and actual data of the automotive SAR validate the effectiveness of the proposed method.