Optimizing Flower Constellations for Global Coverage

Casanova, Daniel (Universidad de Zaragoza) ; Avendaño, Martín ; Mortari, Daniele

Resumen: In this paper, the GDOP-optimal Flower Constellations using evolutionary methods,for a given number of satellites, or more generally, for a given set of Flower Constellation parameters is obtained. As a measure of optimality we use the maximum value of the GDOP over a large number of uniformly distributed points on the Earth during the time needed for the constellation to return to its initial pattern. The search space constellations includes eccentric orbits

Idioma: Inglés

DOI: 10.2514/6.2012-4805

Año: 2012

Publicado en: AIAA paper 2 (2012), 1-18
ISSN: 0146-3705

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Matemática Aplicada (Dpto. Matemática Aplicada)