Single-point position estimation in interplanetary trajectories using star trackers

Mortari, Daniele; Conway, Dylan

doi:10.1007/s10569-016-9738-4

Cited by 14 publications

(10 citation statements)

References 10 publications

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“…The LUMIO-Moon-Sun geometry is defined in SPICE kernels, which is used in conjunction with POV-Ray to render Moon images based radiometric navigation for LUMIO. Autonomous navigation options are then the X-ray pulsar navigation (X-NAV) [13], the celestial triangulation [14], and the horizon-based navigation [15]. The X-NAV, which performs spacecraft positioning by processing pulsar signals, is affected by sensor miniaturization difficulties.…”

Section: Pov-raymentioning

confidence: 99%

LUMIO: An Autonomous CubeSat for Lunar Exploration

Speretta

Cervone

Sundaramoorthy

et al. 2019

Space Operations: Inspiring Humankind's Future

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The Lunar Meteoroid Impact Observer (LUMIO) is one of the four projects selected within ESA's SysNova competition to develop a small satellite for scientific and technology demonstration purposes to be deployed by a mothership around the Moon. The mission utilizes a 12U form-factor CubeSat which carries the LUMIO-Cam, an optical instrument capable of detecting light flashes in the visible spectrum to continuously monitor and process the meteoroids impacts. In this chapter, we will describe the mission concept and focus on the performance of a novel navigation concept using Moon images taken as byproduct of the LUMIO-Cam operations. This new approach will considerably limit the operations burden on ground, aiming at autonomous orbit-attitude navigation and control. Furthermore, an efficient and autonomous strategy for collection, processing, categorization, and storage of payload data is also described to cope with the limited contact time and downlink bandwidth. Since all communications have to go via a lunar orbiter, all commands and telemetry/data will have to be forwarded to/from the mothership. This will prevent quasi-real-time operations and will be the first time for CubeSats

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Section: Pov-raymentioning

confidence: 99%

LUMIO: An Autonomous CubeSat for Lunar Exploration

Speretta

Cervone

Sundaramoorthy

et al. 2019

Space Operations: Inspiring Humankind's Future

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“…The demand of autonomous navigation excludes the Earth-based radiometric navigation for LUMIO. Autonomous navigation options are then the X-ray Pulsar navigation (X-NAV) [3], the Celestial Triangulation [4], and the Horizon-Based navigation [5]. The X-NAV, which performs spacecraft positioning by processing pulsars signals, is affected by sensor miniaturization difficulties.…”

Section: B Navigation Techniques Trade-offmentioning

confidence: 99%

LUMIO: achieving autonomous operations for Lunar exploration with a CubeSat

Speretta

Topputo

Biggs

et al. 2018

2018 SpaceOps Conference

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The Lunar Meteoroid Impacts Observer (LUMIO) is one of the four projects selected within ESA's SysNova competition to develop a small satellite for scientific and technology demonstration purposes to be deployed by a mother ship around the Moon. The mission utilizes a 12U form-factor CubeSat which carries the LUMIO-Cam, an optical instrument capable of detecting light flashes in the visible spectrum to continuously monitor and process the meteoroids impacts. In this paper, we will describe the mission concept and focus on the performance of a novel navigation concept using Moon images taken as byproduct of the LUMIO-Cam operations. This new approach will considerably limit the operations burden on ground, aiming at autonomous orbit-attitude navigation and control. Furthermore, an efficient and autonomous strategy for collection, processing, categorization, and storage of

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“…The optical navigation in proximity of a celestial object exploits the target knowledge to determine the observer position, finding applications in the lunar environment (e.g., full-disk navigation [6,8,15], terrain relative navigation [7]), small body proximity (e.g., landmark navigation [3]), and satellite proximity (e.g., pose estimation [17]). The optical navigation in deep-space leverages on the acquisition of the line-of-sight (LoS) directions to deep-space objects with known ephemeris to determine the observer position [4,10,11,14].…”

Section: Introductionmentioning

confidence: 99%

Deep-Space Optical Navigation Exploiting Multiple Beacons

Franzese

Topputo

2022

J Astronaut Sci

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Ground facilities relying on traditional radiometric tracking are reaching saturation due to the growth of satellites launched into space. As such, autonomous navigation is one of the main enabling technologies for sustainable deep-space missions. This paper tackles the deep-space optical navigation problem exploiting multiple beacons to estimate the observer position independently from ground. The paper derives the least-squares solution and the analytical covariance to the deep-space navigation problem exploiting multiple beacons. The perturbations in the line-of-sight directions as well as in the objects ephemeris are incorporated into the covariance formulation. Then, the geometrical interpretation of the perturbations models, the navigation solution, and the navigation covariance are elaborated. The sensitivity of the navigation accuracy to the number of beacons is assessed by virtue of a test case, showing the correspondence between the numerical and the analytical solutions. Eventually, the paper shows the comparison of the navigation accuracy exploiting multiple beacons against two optimal beacons.

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Single-point position estimation in interplanetary trajectories using star trackers

Cited by 14 publications

References 10 publications

LUMIO: An Autonomous CubeSat for Lunar Exploration

LUMIO: An Autonomous CubeSat for Lunar Exploration

LUMIO: achieving autonomous operations for Lunar exploration with a CubeSat

Deep-Space Optical Navigation Exploiting Multiple Beacons

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