Iterative spherical simplex unscented particle filter for CNS/Redshift integrated navigation system

We propose an improved Unscented Particle Filter (UPF) algorithm for the Celestial Navigation System/Redshift (CNS/Redshift) integrated navigation system. The algorithm adopts the iterated spherical simplex unscented transformation rather than the traditional unscented transformation. The navigation per- formance of the proposed algorithm is assessed by several indexes. Simulation results show that the proposed UPF algorithm has advantages over the traditional UPF algorithm in terms of computation burden, navigation accuracy, and numerical stability.