Near Space Pseudolite Navigation System Design and High-Performance Filtering Algorithm

Abstract:

This paper analyzes the defects of satellite navigation systems that exist in positioning and precision-guided weapons and pointes out the advantages and military needs of pseudolite. The autonomous navigation nonlinear mathematical model of Near Space Pseudolite SINS/CNS/SAR autonomous navigation system is established. Based on the merits of fading filter, robust adaptive filtering and particle filter, we propose a fading adaptive Unscented Particle Filtering algorithm. The proposed filtering algorithm is applied to SINS/CNS/SAR autonomous navigation system and conducted simulation calculation with the Unscented Kalman filter and particle filter comparison. The results show that the new algorithm that is proposed meets the needs of pseudolite autonomous navigation, and the navigation accuracy is significantly higher than the Unscented Kalman filter and particle filter algorithm.

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 931-935
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.931
• Online since: September 2013
• Authors: She Sheng Gao, Wen Hui Wei, Li Xue
• Keywords: Autonomous Navigation, Fading Filter, Near Space Pseudolite, Robust Adaptive Filter

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