Zhang Man, Huan Sha, Zhao Zeya, Wang Zhibin
School of Electronic and Communication Engineering, Guangzhou University, Guangzhou 510006, China.
Beijing Institute of Tracking Telementry & Telecommunication, Beijing 100094, China.
Sensors (Basel). 2022 Feb 24;22(5):1781. doi: 10.3390/s22051781.
Channel phase calibration is a crucial issue in high resolution and wide swath (HRWS) imagery with azimuth multi-channel synthetic aperture radar (SAR) systems. Precise phase calibration is definitely required in reconstructing the full Doppler spectrum for precise HRWS imagery without high-level ambiguities. In this paper, we propose a novel calibration for HRWS SAR imagery by optimizing the reconstructed unambiguous Doppler spectrum. The sharpness of the reconstructed Doppler spectrum is applied as the metric to measure the unambiguity quality, which is maximized to retrieve the element phase error caused by channel imbalance. Real data experiments demonstrate the performance of the proposed calibration for ambiguity suppression in HRWS SAR imagery.
通道相位校准是方位多通道合成孔径雷达（SAR）系统的高分辨率宽测绘带（HRWS）成像中的一个关键问题。在重建完整的多普勒频谱以实现精确的HRWS成像且无高级模糊性时，绝对需要精确的相位校准。在本文中，我们通过优化重建的无模糊多普勒频谱，提出了一种用于HRWS SAR成像的新型校准方法。将重建的多普勒频谱的锐度用作衡量无模糊质量的指标，通过最大化该指标来检索由通道不平衡引起的单元相位误差。实际数据实验证明了所提出的校准方法在HRWS SAR成像中抑制模糊性的性能。
