The precise positioning of lunar farside lander using a four-way lander-orbiter relay tracking mode

Ye, Mao; Li, Fēi; Yan, Jianguo; Barriot, Jean‐Pierre; Hao, Weifeng; Jin, Weitong; Ye, Xuan

doi:10.1007/s10509-018-3421-z

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…Drawing on the analysis of relevant prior research (Shan et al 2018;Yan et al 2018;Ye et al 2018), we set the noise level of ground range-rate measurement to 0.1 mm s −1 , corresponding to the assumption of X-band frequency utilization exclusively in this case. Furthermore, if Ka-band intersatellite observations are employed, like the GRAIL mission, the data accuracy has the potential to achieve a few μm s −1 levels.…”

Section: Comparing the Effects Of Observation Modesmentioning

confidence: 99%

Assessment of Callisto Gravity-field Determination Using the Inter-satellite Range-rate Link

Sun,

Yan,

Gao

et al. 2024

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China will launch the “Tianwen-IV” mission around 2030, focusing on the orbiting exploration of Jupiter and Callisto, a moon of Jupiter. As part of this ambitious mission, a main satellite will carry another satellite that will be released in the Jupiter system to continue its journey toward Uranus. Considering the current mission planning, we propose an inter-satellite radio-observation mode that differs from the conventional observation mode of tracking from Earth to precisely determine the orbit of the satellites. Given the significance of the Callisto gravity field model in both science objectives and satellite navigation, we have conducted a series of simulation experiments to evaluate the potential of this inter-satellite range-rate data for accurately estimating the Callisto gravity field. The results obtained from the analysis demonstrate that by utilizing 40 days of ground station observations, it is possible to estimate the gravity field model of Callisto up to a degree of 70. Remarkably, when combining these ground station observations with inter-satellite observations, a comparable level of accuracy can be achieved with just 10 days of observations. Furthermore, with reduced inter-satellite observation noise, accuracy improves, enabling estimation up to 80 degrees or higher. Initial inter-satellite distance selection impacts estimation accuracy. These findings serve as a valuable test bed for the future “Tianwen-IV” mission to perform precise orbit determination and gravity field model estimation to reduce reliance on deep space stations.

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Section: Comparing the Effects Of Observation Modesmentioning

confidence: 99%

Assessment of Callisto Gravity-field Determination Using the Inter-satellite Range-rate Link

Sun,

Yan,

Gao

et al. 2024

Self Cite

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“…Since December 2013, the Chang’E 3 lander has been operating the Lunar Ultraviolet Telescope, observing the Earth environment as well as mapping galactic sources and measuring their UV variability [48,49]. The Chang’E 4 far-side lander carries a VLF experiment [50], and the NCLE Low Frequency experiment in the 80 kHz to 80 MHz range has been operating from Queqiao, the data relay orbiter of Chang’E 4 on the far-side halo orbit [51].…”

Section: Overview Of Staged Deployment Of Astronomy Hardware On the Moonmentioning

confidence: 99%

Human habitats: prospects for infrastructure supporting astronomy from the Moon

Heinicke

Foing

2020

Phil. Trans. R. Soc. A.

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There is strong interest in lunar exploration from governmental space agencies, private companies and the public. NASA is about to send humans to the lunar surface again within the next few years, and ESA has proposed the concept of the Moon Village, with the goal of a sustainable human presence and activity on the lunar surface. Although construction of the infrastructure for this permanent human settlement is envisaged for the end of this decade by many, there is no definite mission plan yet. While this may be unsatisfactory for the impatient, this fact actually carries great potential: this is the optimal time to develop a forward-looking science input and influence mission planning. Based on data from recent missions (SMART-1, Kaguya, Chang’E, Chandrayaan-1 and LRO) as well as simulation campaigns (e.g. ILEWG EuroMoonMars), we provide initial input on how astronomy could be incorporated into a future Moon Village, and how the presence of humans (and robots) on the Moon could help deploy and maintain astronomical hardware. This article is part of a discussion meeting issue ‘Astronomy from the Moon: the next decades’.

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“…and solar-altitude angles. Easy visibility allows a probe to obtain its own absolute position directly from the earth's ground-tracking station or from additional tracking spacecraft, such as the Queqiao satellite in a Lissajous orbit around earth-moon Lagrange point 2 [3]. Additionally, the range of choices of solar elevation angle can be used to ensure the best illumination conditions for maximizing position estimation performance via optical camera landmark recognition.…”

Section: Introductionmentioning

confidence: 99%

Deep Neural Network-Based Landmark Selection Method for Optical Navigation on Lunar Highlands

et al. 2020

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Spacecraft that rely on self-localization based on optical terrain images require suitable landmark information along their flight paths. When navigating within the vicinity of the moon, a lunar crater is an intuitive choice. However, in highland areas or regions having low solar altitudes, craters are less reliable because of heavy shadowing, which results in infrequent and unpredictable crater detections. This paper, therefore, presents a method for suggesting navigation landmarks that are usable, even with unfavorable illumination and rough terrain, and it provides a procedure for applying this method to a lunar flight plan. To determine a good landmark, a convolutional neural network (CNN)-based object detector is trained to distinguish likely landmark candidates under varying lighting geometries and to predict landmark detection probabilities along flight paths attributable to various dates. Dates having more favorable detection probabilities can be determined in advance, providing a useful tool for mission planning. Numerical experiments show that the proposed landmark detector generates usable navigation information at sun elevations of less than 1.8 • in highland areas.

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The precise positioning of lunar farside lander using a four-way lander-orbiter relay tracking mode

Cited by 6 publications

References 29 publications

Assessment of Callisto Gravity-field Determination Using the Inter-satellite Range-rate Link

Assessment of Callisto Gravity-field Determination Using the Inter-satellite Range-rate Link

Human habitats: prospects for infrastructure supporting astronomy from the Moon

Deep Neural Network-Based Landmark Selection Method for Optical Navigation on Lunar Highlands

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