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

Kui Fu, Guangqiong Zhao, Xiajing Li, Zhong-Liang Tang, Wei He

Abstract: 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.