Research On Receiver Automous Integrity Monitoring Theory In Global Navigation Satellite System

Receiver autonomous integrity monitoring (RAIM) technology is an effective method to provideintegrity monitoring and rapid alarm response capabilities. Its core is mainly based on statisticalmeasurement consistency checks as the use of GNSS satellites redundant information, so as to fulfillintegrity monitoring. In this paper the history of RAIM and the recent research results were morecomprehensively reviewed. According to the number of satellite failures, RAIM in the relate fieldwere lucubrated in this dissertation, including RAIM algorithm, protection limits and the availability.According to the environmental noise classification, RAIM in the relate field were studied deeply,including RAIM algorithm and protection limits. The research in this dissertation provides the theorybasis for aviation safety management and scientific applications.This paper focuses on the required performance parameters (RNP) in RAIM, including accuracy,integrity, availability, continuity, and analysis of the relationship among this concepts. In addition,an analysis of the theoretical methods on RAIM were performed, including function and processes,the fault detection and identification method, the method to ensure integrity, the availability analysisbased on pseudo-range observation model.Under a single satellite failure at a time for RAIM, the total least squares residual method formeasuring improvement and optimization of the model to obtain the fault detection and identificationand ensure the integrity. The analysis and comparison were performed between the total least squaresand the least squares, including location estimation solution, residuals, and data matrix. Comparingthe positioning error protection limits of flight sector with RNP, considering satellite geometry andmeasurement noise, the maximum positioning error integrity risk algorithm was proposed to faultdetection and identification, and simulation for the availability analysis to determine RAIMavailability on flight sector.Under multiple satellite failure at a time for RAIM, joining multiple satellite failures under themultiple constellations, the total least squares algorithm was established. The technique focused onanalyzing the multi-constellation RAIM availability of satellite failure. The maximum positioningerror integrity risk algorithm was proposed to fault detection and identification, and simulation for theavailability analysis to determine RAIM availability on flight sector by applying RAIM to multiplesatellite failures under the multi-constellation.Under Gaussian noise environment for RAIM, the probabilistic limit state analysis method was established and introduced to the receiver autonomous integrity monitoring algorithm. RAIM integrityassessment system was established, including integrity risk assessment and integrity risk evaluation.The former is the integrity of the analysis process, and the latter is a combination of the reliabilitycoefficient and the reliable probability for reduction compared to determine integrity and safety. Inintegrity risk assessment, a probabilistic limit state model was established, and the probabilistic limitstate algorithm was completed to design the integrity guarantee of fault detection, provide acorrelation coefficient method to identify and exclude satellite fault. In integrity risk evaluation, basedon safety factor and its representative reliability，RAIM integrity dual index valuation system wereestablished and the criteria based on RAIM integrity dual index valuation system was designed.Simulation results show that it is feasible and reliable for valuating the integrity risk management ofRAIM.Under non-Gaussian noise environment for RAIM, focusing on the basic principles of particlefilter and the algorithmic process, analyzing on the standard particle filter algorithm of defects, thealgorithm comparing Monte carlo based particle filter with markov chain was established andpresented to RAIM. After Analyzing on the particle filter convergence and real-time issues,comparing particle filtering with likelihood ratio method, the criteria for fault detection andidentification was designed and the implementation process was described. Simulation results showthat it is feasible and reliable.The dissertation is a deep research on models and algorithms in RAIM. The proposed methodshave strong pertinency and proacticability to be implemented. The RAIM algorithm under Gaussiannoise environment greatly enriched and improved the RAIM theory and methods, and is morepioneering and innovative method with major exploration and try. In addition, the RAIM algorithmunder Non-Gaussian noise environment greatly has strong pertinence, and is easy to be realized. Thealgorithm of this dissertation is not only conducive to make up the basis our country’s research in thisfield, but also attributes to consummate RAIM theory and methods. It provides the theory preparationfor the further specific implementation of RAIM theory and methods.Research results show that RAIM based on probabilistic limit state algorithm is reasonable andthat RAIM integrity dual index valuation system based on combination of the safety coefficient andthe reliable coefficient is reasonable. Simulation results show that RAIM based on based markovchain Monte carlo method is feasible.