Zhang Qianyin, Zhou Hui, Li Song, Ma Yue
Appl Opt. 2021 Dec 1;60(34):10579-10586. doi: 10.1364/AO.431417.
The corner cube retroreflector (CCR) can be applied in the on-orbit geolocation validation of satellite photon counting lidar, which provides insight into the fidelity of laser footprint geolocation on the ground. A novel parameter optimization method, to the best of our knowledge, is proposed to enhance the performance of the CCR. Based on the velocity aberration effect of the satellite and the far-field diffraction pattern (FFDP) of the CCR, a mathematical model with respect to the received energy and design parameters of the CCR, including the aperture, the dihedral angle errors (DAE), and the curvature radius of the front face (CROF), is derived. We can achieve the optimal design parameters of the CCR through searching for the locations of the maximal and uniform FFDP on the circumference of the aberration position. We resolve the optimal aperture, the DAE, and the CROF of the CCR as 14.3 mm, 2.4 in., and 6000 m for the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) lidar. The received energy derived from the derived parameters has a significant improvement of around 26 times compared with the CCR parameters employed in the ICESat-2. The results demonstrate that the proposed algorithm is effective, and the regression models of the optimal aperture and DAE for different satellite altitudes are conveniently employed in the design of the CCR for the geolocation validation of satellite photon counting lidar.
角锥棱镜反射器（CCR）可应用于卫星光子计数激光雷达的在轨地理定位验证，这有助于深入了解地面激光足迹地理定位的保真度。据我们所知，提出了一种新颖的参数优化方法来提高CCR的性能。基于卫星的速度像差效应和CCR的远场衍射图样（FFDP），推导了一个关于CCR接收能量和设计参数的数学模型，这些参数包括孔径、二面角误差（DAE）和前表面曲率半径（CROF）。通过在像差位置圆周上搜索最大且均匀的FFDP位置，我们可以获得CCR的最佳设计参数。对于冰、云和陆地高程卫星-2（ICESat-2）激光雷达，我们确定CCR的最佳孔径、DAE和CROF分别为14.3毫米、2.4英寸和6000米。与ICESat-2中使用的CCR参数相比，由推导参数得出的接收能量有显著提高，约为26倍。结果表明，所提出的算法是有效的，并且在设计用于卫星光子计数激光雷达地理定位验证的CCR时，可以方便地采用不同卫星高度下最佳孔径和DAE的回归模型。
