星载多普勒非对称空间外差干涉测量中条纹图案的相位畸变校正

裴惠熠; 江伦; 王锦疆; 崔勇; 方远翔; 张家铭; 陈词

doi:10.37188/CO.EN-2024-0007

星载多普勒非对称空间外差干涉测量中条纹图案的相位畸变校正

裴惠熠¹,
江伦^{1, 2, 3, ,},
王锦疆¹,
崔勇¹,
方远翔¹,
张家铭¹,
陈词⁴

1.
长春理工大学光电工程学院, 吉林长春 130022
2.
长春理工大学航空与地面激光通信技术国防基础科学重点实验室, 吉林长春 130022
3.
深圳鹏城实验室, 广东深圳 518000
4.
吉林珩辉光电科技有限公司, 吉林长春 130022

详细信息

中图分类号: O482.31
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出版历程
- 收稿日期: 2024-03-03
- 修回日期: 2024-06-25
- 录用日期: 2024-08-23
- 网络出版日期: 2024-10-22

Phase distortion correction of fringe patterns in spaceborne Doppler asymmetric spatial heterodyne interferometry

doi: 10.37188/CO.EN-2024-0007

1.
School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China
2.
Key Laboratory of Fundamental Science for National Defense of Aero and Ground Laser Communication Technology, Changchun University of Science and Technology, Changchun 130022, China
3.
Peng Cheng Laboratory, Shenzhen 518000, China
4.
Jilin Heng Hui Optoelectronics Technology Co., Ltd, Changchun 130022, China

Funds: Supported by Science and Technology Development Plan Project of Jilin Province (No. 20230201006GX)

More Information

Author Bio:
JIANG Lun (1984—), male, born in Huang-gang, Hubei Province, Ph.D, researcher/doctoral supervisor, obtained his Ph.D from Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences in 2012, mainly engaged in optical system design, space optics and space optical communication technology research. E-mail: jlciomp@163.com

Corresponding author: jlciomp@163.com

摘要

摘要:
作为观测大气风的先进设备，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。
- 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 device 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.
- Doppler asymmetric spatial heterodyne spectroscopy /
- phase distortion /
- phase inversion /
- atmospheric wind measurement

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Figure 1. Schematic diagram of DASH interferometer

下载: 全尺寸图片幻灯片

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 ${\alpha _{mn}}$

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Figure 3. The flowchart of phase distortion correction

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Figure 4. Interferograms generated (a) without and (c) with Doppler frequency shift. (b) and (d) are correction results of (a) and (c). The simulated images have been vertically stretched, with the actual image proportions being $82 \times 1024$

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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. (a) The data before phase distortion correction; (b) the data after phase distortion correction

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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

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Table 1. Parameters for simulation

Parameters	Values
Wavelengths/nm	557.7
Littrow wavelengths/nm	557.137
OPD offset/mm	20.363
Detector resolution	82×1024
Grating groove density/(grooves·mm⁻¹)	600
Diffraction order	1
Pixel pitch/µm	13

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