Singular Spectral Analysis in Filtration of Noisecontaminated Signals of Pseudolite Navigation

Background: The relevance of this research is determined by the necessity to evaluate precision specifications of ground equipment for satellite radio navigation system consumers, in particular regarding signal filtration and recovery tasks with view to the type of signal and nature of interferences. Method: A Pseudolite signal filtration and recovery algorithm has been developed, using singular spectral analysis, which allows for successful Pseudolite signal processing in noisecontaminated conditions and may be considered as an effective program implementation of a filtering unit as a part of the receiving equipment. Findings: Comparative analysis of noise components of signals used in Pseudolite navigation has been done, possibilities for enhancing interference immunity of Pseudolite systems, based on filtering such signals, have been discussed in this research. Numerical experiments were conducted to prove that the presented algorithm allows for successful Pseudolite signal processing in noise-contaminated conditions and may be considered as an effective program implementation of a filtering unit being a part of the receiving equipment. Applications/Improvements: Materials of this research may be useful for satellite radio navigation system consumers, while enhancing accuracy of attitude sensing of various mobile objects.