As space becomes increasingly populated with new satellites and systems, modeling and simulation of existing and future systems becomes more important. The two-line element set has been the standard format for sharing data about a satellite’s orbit since the 1960s, and well-developed algorithms can predict the future location of satellites based on these data. In order to simulate potential future systems, especially when mixed with existing systems, data must be generated to represent the desired orbits. We present a means to create two-line element sets with parameters that closely resemble real satellite behavior and rely on a novel approach to calculate the mean motion for even greater accuracy.
ParishJA. Optimizing coverage and revisit time in sparse military satellite constellations: a comparison of traditional approaches and genetic algorithms, 2004, https://calhoun.nps.edu/handle/10945/1209
3.
HitomiNSelvaD. Constellation optimization using an evolutionary algorithm with a variable-length chromosome. In: Proceedings of the 2018 IEEE aerospace conference, Big Sky, MT, 3–10 March 2018, pp. 1–12. New York: IEEE.
4.
BudiantoIAOldsJR. Design and deployment of a satellite constellation using collaborative optimization. J Spacecr Rockets2004; 41: 956–963.
5.
ValladoDCrawfordPHujsakR, et al. Revisiting spacetrack report #3. In: Proceedings of the AIAA/AAS astrodynamics specialist conference and exhibit, 2012, https://arc.aiaa.org/doi/10.2514/6.2006-6753
MontenbruckOPflegerT. Special perturbations. In: Astronomy on the personal computer. Berlin: Springer, 2000, pp. 83–106. DOI: 10.1007/978-3-642-03436-7_5.
MoritzH. Geodetic reference system 1980. Bullet Géod1980; 54: 395–405.
12.
McClainWValladoD. Fundamentals of astrodynamics and applications. Berlin: Springer, 2001.
13.
PavlisNKHolmesSAKenyonSC, et al. The development and evaluation of the earth gravitational model 2008 (EGM2008). J Geophys Res Solid Earth2012; 117: B008916.
