Analysis of LNSS satellite occlusion in the southern polar region of the Moon based on DEM

The Moon's Southern Pole region is crucial due to the unique terrain features. This study suggests using Digital Elevation Model (DEM) data to assess the positioning performance of the Lunar Navigation Satellite System (LNSS) in this area. Two LNSS constellation types, Elliptical Lunar Frozen Orbit (ELFO) and Elliptical Repeat Ground-Track Orbit, (ERGO), are evaluated based on lunar DEM data. The focus is on Number of Visible Satellites (NVS) and Position Dilution of Precision (PDOP) variations with satellite numbers and elevation mask angles. ELFO (8 satellites) shows a 69% probability of 4 + visible satellites with a 52% PDOP within 10, while ERGO (8 satellites) has 64% and 60% probabilities, respectively. Hybrid constellations involving an additional near-rectilinear halo orbit (NRHO) satellite are also explored. ELFO-NRHO (9 satellites) has a 96% probability of 4 + visible satellites and a 73% PDOP within 5, while ERGO-NRHO (9 satellites) presents probabilities of 83% and 78%, respectively. The positioning accuracy performance of hybrid constellations with NRHO is approximately 30 m.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-14
DOI
https://doi.org/10.1038/s41598-025-19786-x
Primary Topic
Planetary Science and Exploration
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of LNSS satellite occlusion in the southern polar region of the Moon based on DEM

Yanling Han, Zhonghua Hong, Xiaohua Tong, Shuhu Yang et al.
Scientific Reports
Planetary Science and Exploration
article

Analysis of LNSS satellite occlusion in the southern polar region of the Moon based on DEM

Yanling Han, Zhonghua Hong, Xiaohua Tong, Shuhu Yang, Yun Zhang, Xinhui Chen
article en

Abstract

The Moon's Southern Pole region is crucial due to the unique terrain features. This study suggests using Digital Elevation Model (DEM) data to assess the positioning performance of the Lunar Navigation Satellite System (LNSS) in this area. Two LNSS constellation types, Elliptical Lunar Frozen Orbit (ELFO) and Elliptical Repeat Ground-Track Orbit, (ERGO), are evaluated based on lunar DEM data. The focus is on Number of Visible Satellites (NVS) and Position Dilution of Precision (PDOP) variations with satellite numbers and elevation mask angles. ELFO (8 satellites) shows a 69% probability of 4 + visible satellites with a 52% PDOP within 10, while ERGO (8 satellites) has 64% and 60% probabilities, respectively. Hybrid constellations involving an additional near-rectilinear halo orbit (NRHO) satellite are also explored. ELFO-NRHO (9 satellites) has a 96% probability of 4 + visible satellites and a 73% PDOP within 5, while ERGO-NRHO (9 satellites) presents probabilities of 83% and 78%, respectively. The positioning accuracy performance of hybrid constellations with NRHO is approximately 30 m.

Scientific ReportsVol. 15(1)
Tongji University (CN), Shanghai Ocean University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 80%
Planetary Science and Exploration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analysis of LNSS satellite occlusion in the southern polar region of the Moon based on DEM — Yanling Han, Zhonghua Hong, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS