Joint navigation performance of distant retrograde orbits and cislunar orbits via LiAISON considering dynamic and clock model errors

Wang, Wenbin; Shu, Leizheng; Liu, Jiangkai

doi:10.1002/navi.340

Cited by 18 publications

(13 citation statements)

References 33 publications

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“…In addition to the effect of observations, modeling errors and filtering methods have also been studied so far. The high fidelity measurement models are used for distance retrogate orbiter in cislunar space to see the effect of satellite-borne clock errors [123]. Lastly, novel filtering methods are also studied for the LiAISON architecture in [124].…”

Section: Crosslink Radiometric Navigationmentioning

confidence: 99%

“…Comprehensive studies have demonstrated the LiAISON algorithm's capabilities over the past decade [8,110,[121][122][123][125][126][127][128]. The general trend is that LiAISON provides excellent results for cases around asteroids and lunar-Lagrangian points and less accurate results for cases in which orbiters are very close to each other and the gravitational body, such as lunar orbiters.…”

Section: Crosslink Radiometric Navigationmentioning

confidence: 99%

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Autonomous navigation for deep space small satellites: Scientific and technological advances

2022

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In recent years, there is a growing interest in small satellites for deep space exploration. The current approach for planetary navigation is based on ground-based radiometric tracking. A new era of low-cost small satellites for space exploration will require autonomous deep space navigation. This will decrease the reliance on groundbased tracking and provide a substantial reduction in operational costs because of crowded communication networks. In addition, it will be an enabler for future missions currently impossible. This review investigates available deep space navigation methods from an autonomy perspective, considering trends in proposed deep space small satellite missions. Autonomous crosslink radiometric navigation, which is one of the best methods for small satellites due to its simplicity and the use of existing technologies, is studied, including available measurement methods, enabling technologies, and applicability to the currently proposed missions. The main objective of this study is to fill the gap in the scientific literature on the autonomous deep space navigation methods, deeply for crosslink radiometric navigation and to aim at showing the potential advantages that this technique could offer to the missions being analyzed. In this study, a total of 64 proposed deep space small satellite missions have been analyzed found from a variety of sources including journal papers, conference proceedings, and mission websites. In those missions, the most popular destinations are found to be cislunar space and small bodies with the purpose of surface mapping and characterization. Even though various autonomous navigation methods have been proposed for those missions, most of them have planned to use the traditional ground-based radiometric tracking for navigation purposes. This study also shows that more than half of the missions can benefit from the crosslink radiometric navigation through the inter-satellite link.

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Section: Crosslink Radiometric Navigationmentioning

confidence: 99%

Section: Crosslink Radiometric Navigationmentioning

confidence: 99%

Autonomous navigation for deep space small satellites: Scientific and technological advances

2022

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“…This method has been applied to mission studies at librations points, asteroids, and cislunar vicinity (A. Hill (2007); Hill & Born (2007); Leonard et al (2012); Hesar et al (2015); Wang et al (2019); Hill et al (2006); Hill & Born (2008); Leonard (2015); Fujimoto et al (2016)). The method will be applied in the CAPSTONE mission (Figure 1) using a crosslink between Lunar Reconnaissance Orbiter (LRO) and the CAPSTONE CubeSat, (NASA (2020b)).…”

Section: Crosslink Radiometric Navigationmentioning

confidence: 99%

Performance Analysis of Crosslink Radiometric Measurement based Autonomous Orbit Determination for Cislunar Small Satellite Formations

Turan¹,

Speretta²,

Gill³

2022

Preprint

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Recent advances in space technology provide an opportunity for small satellites to be launched in cislunar space. However, tracking these small satellites still depends on ground-based operations. Autonomous navigation could be a possible solution considering challenges presented by costly ground operations and limited onboard power available for small satellites. There have been various studies on autonomous navigation methods for cislunar missions. One of them, LiAISON, provides an autonomous orbit determination solution solely using inter-satellite measurements. This study aims at providing a detailed performance analysis of crosslink radiometric measurements based autonomous orbit determination for cislunar small satellite formations considering the effects of measurement type, measurement accuracy, bias, formation geometry and network topology. This study shows that range observations provide better state estimation accuracy than range-rate observations for the autonomous navigation system in cislunar space. Line-of-sight angle measurements derived from radiometric measurements do not improve the overall system performance. In addition, less precise crosslink measurement methods could be an option for formations in the high observable orbital configurations. It was found that measurement biases and measurements with high intervals reduce the overall system performance. In case there are more than two spacecraft in the formation, the navigation system in the mesh topology provided better overall state estimation than centralized topology.

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“…Considering the asymmetric gravity field in the cislunar vicinity, it is possible to build such an autonomous navigation system. Up to now, various studies have presented the capabilities of LiAISON over the past decade in lunar and deep space mission studies [11,23,12,7,22].…”

Section: Introductionmentioning

confidence: 99%

Autonomous Crosslink Radionavigation for a Lunar CubeSat Mission

Turan,

Speretta,

Gill

2022

Preprint

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This study presents an autonomous orbit determination system based on crosslink radiometric measurements applied to a future lunar CubeSat mission to clearly highlight its advantages with respect to existing ground-based navigation strategies. This work is based on the Linked Autonomous Interplanetary Satellite Orbit Navigation (LiAISON) method which provides an autonomous navigation solution solely using satelliteto-satellite measurements, such as range and/or range-rate, to estimate absolute spacecraft states when at least one of the involved spacecraft has an orbit with a unique size, shape, and orientation. The lunar vicinity is a perfect candidate for this type of application due to the asymmetrical gravity field: the selected lunar mission, an Earth-Moon L 2 (EML 2 ) Halo orbiter, has an inter-satellite link between a lunar elliptical frozen orbiter. Simulation results show that, even in case of high-measurement errors (in the order of 100 m, 1σ), the navigation filter estimates the true states of spacecraft at EML 2 with an error in the order of 500 m for position, and 2 mm/s for velocity, respectively and the elliptical lunar frozen orbiter states can be estimated in the order of 100 m for position and 1 cm/s for velocity, respectively. This study shows that range-only measurements provide better state estimation than range-rate-only measurements for this specific situation.Different bias handling strategies are also investigated. It has been found that even a less accurate ranging method, such as data-aided ranging, provides a sufficient orbit determination solution. This would simplify the communication system design for the selected CubeSat mission. The most observable states are found to be position states of the lunar orbiter via the observability analysis. In addition, the best tracking windows are also investigated for the selected mission scenario.

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Joint navigation performance of distant retrograde orbits and cislunar orbits via LiAISON considering dynamic and clock model errors

Cited by 18 publications

References 33 publications

Autonomous navigation for deep space small satellites: Scientific and technological advances

Autonomous navigation for deep space small satellites: Scientific and technological advances

Performance Analysis of Crosslink Radiometric Measurement based Autonomous Orbit Determination for Cislunar Small Satellite Formations

Autonomous Crosslink Radionavigation for a Lunar CubeSat Mission

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