Mercator Projection Superposition: A Computationally Efficient Alternative to Grid-Based Coverage Analysis for LEO Mega-Constellations

Grid point approaches for LEO mega-constellation coverage analysis become computationally prohibitive for constellations exceeding 10<sup>3</sup> satellites due to exponential complexity growth. This paper presents the Mercator projection superposition (MPS) approach, which transforms co...

Full description

Bibliographic Details
Published in:Applied Sciences
Main Authors: Guanhua Feng, Linli Lv, Wenhao Li
Format: Article
Language:English
Published: MDPI AG 2025-09-01
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/19/10610
Description
Summary:Grid point approaches for LEO mega-constellation coverage analysis become computationally prohibitive for constellations exceeding 10<sup>3</sup> satellites due to exponential complexity growth. This paper presents the Mercator projection superposition (MPS) approach, which transforms coverage evaluation into a two-dimensional image-processing paradigm by projecting the satellite coverage onto Mercator maps. MPS decouples computational complexity from satellite count, enabling analysis of constellations exceeding 10<sup>4</sup> satellites. Validation against grid point approaches shows ≤1.2% error with 60× speed improvement for 103-scale constellations without parallel computation. The method establishes that instantaneous coverage rates reliably approximate periodic rates within 0.04% precision for early-stage constellation design. Analysis of Starlink-based configurations identifies optimal principles governing mega-constellation coverage, with particular emphasis on configuration and orbital parameter relationships. These findings enable rapid design iteration and optimization for future mega-constellation development.
ISSN:2076-3417