Combined method for single satellite passive localization based on PSO

Enlightened by the combined method (CM) for traditional passive localization of ocean and air based applications, and considering that passive localization is a typical nonlinear filtering and optimal estimation problem, CM for single satellite passive localization is examined based on Particle swarm optimization(PSO), which provides an evolutionary computation method to solve the nonlinear optimal problem. However, PSO can not be straightforwardly applied to satellite passive localization because satellite passive localization is a constrained nonlinear optimal problem when using the constraint condition of the earth surface. We suggest calculating the particle swarm directly using the earth surface constraint, and the uncertainty of particle position can be resolved by the angle measurements. Computer simulation experiments are performed to validate the effectiveness of the proposed method.