Optimal Beacons Selection for Deep-Space Optical Navigation

Franzese, V.; Topputo, Francesco

doi:10.1007/s40295-020-00242-z

Cited by 17 publications

(19 citation statements)

References 22 publications

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“…Note that the best geometry is achieved when the two LOS directions are orthogonal, while the solution is undetermined when the two beacons and the observer are aligned. More details can be found in [14].…”

Section: Impact Of Observation Geometrymentioning

confidence: 99%

“…Assuming small perturbations of the line-of-sight directions with an angular additive model, where the azimuth and elevation angles corresponding to a LOS direction are perturbed by the sum with a white noise of standard deviation σ [5,25], the covariance of the solution error P to Eq. 5 can be derived as [14]…”

Section: Covariance Analysismentioning

confidence: 99%

“…To this aim, the trace of the covariance matrix can be used as a figure of merit for the solution accuracy as demonstrated in [14]:…”

Section: Optimal Beacons Selectionmentioning

confidence: 99%

“…Equation 10 can be used as a measure of the quality of the navigation solution, it being a non-negative function of all the quantities and errors involved in the deep-space optical navigation problem. Following the considerations in [14], the figure of merit exploiting two beacons can be defined as…”

Section: Optimal Beacons Selectionmentioning

confidence: 99%

“…Recent studies on autonomous navigation methods involve X-ray pulsar navigation [1,38], horizon-based navigation close to nearly spherical objects [3,6,9,13,30], and deep-space line-of-sight navigation [4,14,18,29].…”

Section: Introductionmentioning

confidence: 99%

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Deep-Space Optical Navigation for M-ARGO Mission

et al. 2021

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The Miniaturised Asteroid Remote Geophysical Observer (M-ARGO) mission is designed to be ESA’s first stand-alone CubeSat to independently travel in deep space with its own electric propulsion and direct-to-Earth communication systems in order to rendezvous with a near-Earth asteroid. Deep-space Cubesats are appealing owing to the scaled mission costs. However, the operational costs are comparable to those of traditional missions if ground-based orbit determination is employed. Thus, autonomous navigation methods are required to favour an overall scaling of the mission cost for deep-space CubeSats. M-ARGO is assumed to perform an autonomous navigation experiment during the deep-space cruise phase. This paper elaborates on the deep-space navigation experiment exploiting the line-of-sight directions to visible beacons in the Solar System. The aim is to assess the experiment feasibility and to quantify the performances of the method. Results indicate feasibility of the autonomous navigation for M-ARGO with a 3σ accuracy in the order of 1000 km for the position components and 1 m/s for the velocity components in good observation conditions, utilising miniaturized optical sensors.

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Section: Impact Of Observation Geometrymentioning

confidence: 99%

Section: Covariance Analysismentioning

confidence: 99%

“…To this aim, the trace of the covariance matrix can be used as a figure of merit for the solution accuracy as demonstrated in [14]:…”

Section: Optimal Beacons Selectionmentioning

confidence: 99%

Section: Optimal Beacons Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Deep-Space Optical Navigation for M-ARGO Mission

et al. 2021

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The ERC-Funded EXTREMA Project: Achieving Self-Driving Interplanetary CubeSats

Domenico

Andreis

Morelli

et al. 2022

Springer Optimization and Its Applications

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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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Optimal Beacons Selection for Deep-Space Optical Navigation

Cited by 17 publications

References 22 publications

Deep-Space Optical Navigation for M-ARGO Mission

Deep-Space Optical Navigation for M-ARGO Mission

The ERC-Funded EXTREMA Project: Achieving Self-Driving Interplanetary CubeSats

Deep-Space Optical Navigation Exploiting Multiple Beacons

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