Gao Si, Zhang Zenghui, Yu Wenxian, Wu Manqing, Li Guangzuo
Appl Opt. 2021 Mar 1;60(7):2014-2021. doi: 10.1364/AO.413512.
Inverse synthetic aperture imaging ladar (ISAL) can achieve high-resolution images, and yet it faces pulse-to-pulse high-order phase errors that the microwave radar can ignore. The high-order phase errors are almost caused by mechanical vibrations in general, which blur the azimuth focusing effect. This paper presents an ISAL imaging model to obtain high-resolution images. A novel modified cubic phase function (CPF) algorithm is proposed to compensate the additional high-order phase errors. Some high-resolution well-focused ISAL simulation images and real target images are shown to validate the methods. It is shown that the third-order phase errors are compensated by the distinctive digital signal process and the image entropy of real target images is reduced significantly.
逆合成孔径成像激光雷达（ISAL）能够实现高分辨率成像，然而它面临着微波雷达可以忽略的脉冲间高阶相位误差。一般来说，高阶相位误差几乎都是由机械振动引起的，这会使方位聚焦效果模糊。本文提出了一种用于获取高分辨率图像的ISAL成像模型。提出了一种新颖的改进立方相位函数（CPF）算法来补偿额外的高阶相位误差。展示了一些高分辨率聚焦良好的ISAL模拟图像和真实目标图像以验证这些方法。结果表明，通过独特的数字信号处理补偿了三阶相位误差，并且真实目标图像的图像熵显著降低。
