A novel autonomous navigation constellation in the Earth–Moon system
Abstract: With more and more activities in cislunar space and deep space, a navigation system that can provide autonomous navigation service for cislunar or even deep space missions has become an urgent need. This article proposes a new type of navigation constellation which is placed on two kinds of special orbits, namely the dynamical substitutes around the triangular libration points and the distant retrograde orbits (DROs). Both types of orbits have the same characteristics of long-term stability under the full force model, so no orbit control is needed and it can operate autonomously without ground support. First, using inter-satellite range data, the autonomous orbit determination between navigation satellites on the dynamical substitutes and the DROs is investigated under the full force model. Then, taking a translunar orbit as an example, the constellation’s navigation performance based on inter-satellite range observation is evaluated. With range errors of 1, 10, and 100 m, respectively, the navigation capability of the constellation is successfully verified in the sense that the accuracy of the determined orbit reaches the level of the observation data. From the viewpoint of stable autonomous navigation, the current results are meaningful and deserve further consideration when deploying the navigation constellation in the Earth–Moon system.
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
A novel autonomous navigation constellation in the Earth–Moon system ; volume:33 ; number:1 ; year:2024 ; extent:14
Open astronomy ; 33, Heft 1 (2024) (gesamt 14)
- Urheber
-
Liu, Bin
Li, Hengnian
Hou, Xiyun
Yang, Jie
Huyan, Zongbo
- DOI
-
10.1515/astro-2022-0203
- URN
-
urn:nbn:de:101:1-2409091910139.332325588389
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:20 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Liu, Bin
- Li, Hengnian
- Hou, Xiyun
- Yang, Jie
- Huyan, Zongbo
Ähnliche Objekte (12)
Data mining and CRISPR/Cas9 gene editing system in pancreatic cancer research : = Data Mining und CRISPR/Cas9-Gene-Editing in der Pankreaskrebsforschung
Investigating processes and impacts of climate change on seawater intrusion in a coastal aquifer
Identification of novel biomarkers, MUC5AC, MUC1, KRT7, GAPDH, CD44 for gastric cancer
A hybrid gene expression programming algorithm based on orthogonal design
Standing waves for Choquard equation with noncritical rotation
A Submesoscale Eddy Identification Dataset in the Northwest Pacific Ocean Derived from GOCI I Chlorophyll–a Data based on Deep Learning
Production of boundaries by social service organizations: based on the study of family integrated service centers in Guangzhou
A bioinformatics investigation into the pharmacological mechanisms of the effect of Fufang Danshen on pain based on methodologies of network pharmacology
Regularity for critical fractional Choquard equation with singular potential and its applications
Leaf color attributes of urban colored-leaf plants
Temporal and Spatial Influences of Environmental Factors on the Distribution of Mesopelagic organism in the North Atlantic Ocean
Investigation of Voltage Range and Self‐Discharge in Aqueous Zinc‐Ion Hybrid Supercapacitors
Data mining and CRISPR/Cas9 gene editing system in pancreatic cancer research : = Data Mining und CRISPR/Cas9-Gene-Editing in der Pankreaskrebsforschung
Investigating processes and impacts of climate change on seawater intrusion in a coastal aquifer
Identification of novel biomarkers, MUC5AC, MUC1, KRT7, GAPDH, CD44 for gastric cancer
A hybrid gene expression programming algorithm based on orthogonal design
Standing waves for Choquard equation with noncritical rotation
A Submesoscale Eddy Identification Dataset in the Northwest Pacific Ocean Derived from GOCI I Chlorophyll–a Data based on Deep Learning
Production of boundaries by social service organizations: based on the study of family integrated service centers in Guangzhou
A bioinformatics investigation into the pharmacological mechanisms of the effect of Fufang Danshen on pain based on methodologies of network pharmacology
Regularity for critical fractional Choquard equation with singular potential and its applications
Leaf color attributes of urban colored-leaf plants
Temporal and Spatial Influences of Environmental Factors on the Distribution of Mesopelagic organism in the North Atlantic Ocean
Investigation of Voltage Range and Self‐Discharge in Aqueous Zinc‐Ion Hybrid Supercapacitors
Data mining and CRISPR/Cas9 gene editing system in pancreatic cancer research : = Data Mining und CRISPR/Cas9-Gene-Editing in der Pankreaskrebsforschung
Investigating processes and impacts of climate change on seawater intrusion in a coastal aquifer
Identification of novel biomarkers, MUC5AC, MUC1, KRT7, GAPDH, CD44 for gastric cancer
A hybrid gene expression programming algorithm based on orthogonal design
Standing waves for Choquard equation with noncritical rotation
A Submesoscale Eddy Identification Dataset in the Northwest Pacific Ocean Derived from GOCI I Chlorophyll–a Data based on Deep Learning
Production of boundaries by social service organizations: based on the study of family integrated service centers in Guangzhou
A bioinformatics investigation into the pharmacological mechanisms of the effect of Fufang Danshen on pain based on methodologies of network pharmacology
Regularity for critical fractional Choquard equation with singular potential and its applications
Leaf color attributes of urban colored-leaf plants
Temporal and Spatial Influences of Environmental Factors on the Distribution of Mesopelagic organism in the North Atlantic Ocean