Phase distortion correction of fringe patterns in spaceborne Doppler asymmetric spatial heterodyne interferometry
doi: 10.37188/CO.EN-2024-0007
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摘要:
作为观测大气风的先进技术，星载多普勒非对称空间外差（DASH）干涉仪也面临着与相位畸变相关的挑战，特别是在临边探测场景中。本文讨论了星载DASH干涉仪的干涉图建模和相位畸变校正技术。对临边观测中有与无多普勒频移的相位畸变干涉图进行了建模，并通过数值模拟验证了解析表达式的有效性。仿真结果表明，在使用洋葱皮反演算法处理相位失真干涉图时，误差会逐层传播。相比之下，相位畸变校正算法可以实现有效的校正。该相位校正方法可成功应用于星载DASH干涉仪干涉图中的相位畸变校正，为提高其测量精度提供了可行的解决方案。
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关键词:
- 多普勒非对称空间外差光谱 /
- 相位畸变 /
- 相位反演 /
- 大气风测量
Abstract:As an advanced technology for observing atmospheric winds, the spaceborne Doppler Asymmetric Spatial Heterodyne (DASH) interferometer also encounters challenges associated with phase distortion, particularly in limb sounding scenarios. This paper discusses interferogram modeling and phase distortion correction techniques for spaceborne DASH interferometers. The modeling of phase distortion interferograms with and without Doppler shift for limb observation was conducted, and the effectiveness of the analytical expression was verified through numerical simulation. The simulation results indicate that errors propagate layer by layer while using the onion-peeling inversion algorithm to handle phase-distorted interferograms. In contrast, the phase distortion correction algorithm can achieve effective correction. This phase correction method can be successfully applied to correct phase distortions in the interferograms of the spaceborne DASH interferometer, providing a feasible solution to enhance its measurement accuracy.
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Figure 2. Schematic diagram of limb sounding for spaceborne DASH interferometer. The angle between the tangent of the intersection of the
$m{\text{th}}$ LOS and the$n{\text{th}}$ layer is${\alpha _{mn}}$ .
Figure 4. Panel (a) shows a simulated non Doppler shift tilted fringe interferogram, panel (b) is the correction for panel (a), Panel (c) shows a simulated Doppler shift tilted fringe interferogram, panel (d) is the correction for panel (c). The vertical axis denotes the tangent altitude, and the horizontal axis represents the optical path difference. The simulated images have been vertically stretched, with the actual image proportions being
$82 \times 1024$ .
Figure 5. Comparison between input wind profile and retrieved wind profile. The red line represents the input wind profile, while the blue line represents the retrieved wind profile. Panel (a) shows the data before phase distortion correction, and panel (b) shows the data after phase distortion correction.
Figure 6. After phase distortion correction, the phase changes caused by different angles
${\beta _1}$ in the residual phase distortion terms across different detector rows.Table 1. Parameters for simulation.
Parameters Values Wavelengths 557.7 nm Littrow wavelengths 557.137 nm OPD offset 20.363 mm Detector resolution 82× 1024 Grating groove density 600 grooves/mm Diffraction order 1 Pixel pitch 13 µm 
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