Initial orbit determination based on sparse space-based angle measurement and genetic algorithm

Abstract

This paper studies the initial orbit determination based on sparse space-based angle measurement and genetic algorithm. The double rho iteration model used by the space-based initial orbit determination is briefly introduced firstly. Because of problems of iteration divergences and self-solutions in the space-based initial orbit determination, the genetic algorithm of SGA and MPGA are then adopted to solve the problems. According to the research results, the space-based initial orbit determination generally got more satisfied solutions by the genetic algorithm than common iteration algorithms. Furthermore, the MPGA genetic algorithm is very effective to overcome the above drawbacks on the initial orbit determination based on sparse space-based angle measurement.