Paper
31 January 2013 Uncertainty evaluation study on Chang’E-1 Laser Altimeter on-orbit detection error
Author Affiliations +
Proceedings Volume 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation; 87591N (2013) https://doi.org/10.1117/12.2014915
Event: International Symposium on Precision Engineering Measurement and Instrumentation 2012, 2012, Chengdu, China
Abstract
The Chang’E-1 Laser Altimeter(LAM), as one of the scientific instruments onboard the Chinese Chang’E-1 orbiter, has successfully gained the massive lunar elevation scientific data of global topography of the moon. Uncertainty evaluation of the lunar elevation detection error based on LAM scientific data is developed in this paper. Firstly, the data are selected from the flat terrain region in all the lunar elevation detection data; Secondly, after the pseudo elevation data are removed in the selected region, regional elevation mean and standard deviation are calculated. Making use of the calculations and taking into account all kinds of uncertainty contributors of LAM orbiting exploring, the uncertainty evaluation methods of the LAM in-orbit elevation exploring are proposed on the basis of the guide to Monte Carlo Methods. Finally, the uncertainty evaluation results of different regions of lunar surface are given. The evaluation results not only can provide the basis for further analysis laser altimeter measurement error sources, but also give the reference for making the high precision moon digital elevation graph and provide theoretical guidance for the accuracy requirement of design of payload on lunar orbiter.
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Dong-Xia Wang, Ai-Guo Song, and Xiu-Lan Wen "Uncertainty evaluation study on Chang’E-1 Laser Altimeter on-orbit detection error", Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 87591N (31 January 2013); https://doi.org/10.1117/12.2014915
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KEYWORDS
Monte Carlo methods

Error analysis

Satellites

Data processing

Distance measurement

Environmental sensing

Mathematical modeling

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