Efficiency analysis of polarizing filter enhanced signal to noise ratio for daytime star measurement

被引:0
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作者
Gou, Wanxiang [1 ]
Li, Chonghui [1 ]
Zhan, Yinhu [1 ]
Yang, Yuan [1 ]
Zheng, Yong [1 ]
机构
[1] Institute of Surveying and Mapping, Information Engineering University, Zhengzhou,450001, China
关键词
Now; astronomical geodesy can only observe the celestial bodies in the visible band at night; and has not yet achieved all-time measurement. Therefore; studying daytime star measurement technology is very meaningful. In order to enhance the signal-to-noise ratio(SNR) of star measurement in daytime; this paper constructs a polarization filtering SNR enhancement model and analyzes the effectiveness of using polarization filtering method for star measurement SNR enhancement. Firstly; the characterization model of atmospheric polarization state is analyzed; and then a polarization filtering model is put forward based on the Rayleigh scattering model. Then; an enhancement model for improving the SNR is derived; and the SNR enhancement efficiency and influencing factors are analyzed. Finally; two outdoor experimental platforms were built to verify the effectiveness of the model. The experimental results show that in the band of 900-1700 nm; the filtering model constructed based on the Rayleigh scattering model has high accuracy; with 77% of the point polarization angle errors being smaller than 5° and 100% smaller than 12°; which can meet the accuracy requirements for the practical polarization filter model. Through observations of 6 stars; including Arcturus and Kochab; it was shown that the SNR of stars with different observation orientations can be improved by 22 %~ 109%; which is consistent with the SNR enhancement model. The use of polarization filtering method for daytime star measurement in the entire sky has important application value. When the maximum polarization degree of the entire sky is 0. 65; the average polarization degree can reach 0. 34; and the corresponding star measurement SNR can be improved by about 51. 5%. © 2024 SinoMaps Press. All rights reserved;
D O I
10.11947/j.AGCS.2024.20230416
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页码:1574 / 1585
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