With the renewed interest in the lunar surface exploration, the European Space Agency is supporting, as part of the Moonlight program, the development of a dedicated Lunar Communications and Navigation Service (LCNS) infrastructure. This should enable to achieve real time positioning and autonomous navigation in the cislunar space, including, among others, lunar landing and surface operations. One of the services proposed, as part of the LunaNet framework (NASA, 2022), is called the Lunar Augmented Navigation Service (LANS) and it is based on a GNSS-like concept. However, compared to Earth-based GNSS, the expected number of available satellites in lunar orbit will initially be limited, which triggers the interest of coupling these technologies at the receiver level with other navigation data sources. In the case of surface rovers, use of digital elevation model (DEM) data has shown to be a potential other source of information to support positioning. The purpose of this contribution is to look at the actual navigation performances achievable when using a simple (four satellites constellation) lunar radio navigation constellation combined with a DEM, through a state estimation filter, for different rover dynamic and different DEM accuracy levels. It is shown that a 5 meter real-time horizontal position accuracy can be achieved, for 99.7% of the time, using a precise enough DEM (5 m/pixel) and a 4 satellite-constellation under different rover's dynamic conditions (i.e. velocities). (c) 2024 Published by Elsevier B.V. on behalf of COSPAR.

Positioning of a lunar surface rover on the south pole using LCNS and DEMs / Audet, Yoann; Melman, Floor Thomas; Molli, Serena; Sesta, Andrea; Plumaris, Michael; Psychas, Dimitrios; Swinden, Richard; Giordano, Pietro; Ventura-Traveset, Javier. - In: ADVANCES IN SPACE RESEARCH. - ISSN 0273-1177. - 74:6(2024), pp. 2532-2550. [10.1016/j.asr.2024.06.022]

Positioning of a lunar surface rover on the south pole using LCNS and DEMs

Molli, Serena;Sesta, Andrea;Plumaris, Michael;
2024

Abstract

With the renewed interest in the lunar surface exploration, the European Space Agency is supporting, as part of the Moonlight program, the development of a dedicated Lunar Communications and Navigation Service (LCNS) infrastructure. This should enable to achieve real time positioning and autonomous navigation in the cislunar space, including, among others, lunar landing and surface operations. One of the services proposed, as part of the LunaNet framework (NASA, 2022), is called the Lunar Augmented Navigation Service (LANS) and it is based on a GNSS-like concept. However, compared to Earth-based GNSS, the expected number of available satellites in lunar orbit will initially be limited, which triggers the interest of coupling these technologies at the receiver level with other navigation data sources. In the case of surface rovers, use of digital elevation model (DEM) data has shown to be a potential other source of information to support positioning. The purpose of this contribution is to look at the actual navigation performances achievable when using a simple (four satellites constellation) lunar radio navigation constellation combined with a DEM, through a state estimation filter, for different rover dynamic and different DEM accuracy levels. It is shown that a 5 meter real-time horizontal position accuracy can be achieved, for 99.7% of the time, using a precise enough DEM (5 m/pixel) and a 4 satellite-constellation under different rover's dynamic conditions (i.e. velocities). (c) 2024 Published by Elsevier B.V. on behalf of COSPAR.
2024
Moonlight; LCNS; ODTS; DEM; LunaNet
01 Pubblicazione su rivista::01a Articolo in rivista
Positioning of a lunar surface rover on the south pole using LCNS and DEMs / Audet, Yoann; Melman, Floor Thomas; Molli, Serena; Sesta, Andrea; Plumaris, Michael; Psychas, Dimitrios; Swinden, Richard; Giordano, Pietro; Ventura-Traveset, Javier. - In: ADVANCES IN SPACE RESEARCH. - ISSN 0273-1177. - 74:6(2024), pp. 2532-2550. [10.1016/j.asr.2024.06.022]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1724795
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