A genetic algorithm for Initial Orbit Determination from a too short arc optical observation

Injected transfer orbit determination of lunar probe Chang’E 5T1 using short-arc rocket GPS measurements

“…Research related to the initial orbit determination of space objects using shortarc or sparse measurements from different observation sources is studied in depth (DeMars et al, 2012;Li et al, 2012;Ansalone & Curti, 2013;Bennett et al, 2014;Sang et al, 2014). To the orbit determination using GPS measurements, a large number of studies and effectual methods have been carried out in the past (Montenbruck et al, 2005;Bock et al, 2007;Choi et al, 2010;Gu & Yi, 2011;Chicharro et al, 2013;Wang Xin, 2013).…”

A multi-spacecraft formation approach to space debris surveillance

“…Therefore, the classical algorithms [37] cannot be successfully employed for orbit determination, since they typically lead to inaccurate results [28]. Some authors have found new and more efficient algorithms for accurate orbit estimation analytically [28][29] [30] or numerically [31], such as multiple shooting methods [32], genetic algorithms [27], batch [33] or sequential estimators [34][35] [36].…”

“…In fact, due to the intrinsic limitation of the field of view of the on-board optical sensors, tracking of the debris is possible only for very short arcs [27]. Therefore, the classical algorithms [37] cannot be successfully employed for orbit determination, since they typically lead to inaccurate results [28].…”

Orbit determination via adaptive Gaussian swarm optimization

“…Recently, various optimization methods have been utilized to solve this kind of optimization problems. Ansalone and Curti (2013) introduced an initial orbit determination by GA, and simulated the method assuming space-based observation. In following, Hinagawa et al (2014) proposed an initial OD method by Lambert's problem with a GA based on optical observations.…”