Abstract
With the development of various navigation systems (such as GLONASS, Galileo, BDS), there is a sharp increase in the number of visible satellites. Accordingly, the probability of multiply gross measurements will increase. However, the conventional RAIM methods are difficult to meet the demands of the navigation system. In order to solve the problem of checking and identify multiple gross errors of receiver autonomous integrity monitoring (RAIM), this paper designed full matrix of single point positioning by QR decomposition, and proposed a new RAIM algorithm based on fuzzy clustering analysis with fuzzy c-means(FCM). And on the condition of single or two gross errors, the performance of hard or fuzzy clustering analysis were compared. As the results of the experiments, the fuzzy clustering method based on FCM principle could detect multiple gross error effectively, also achieved the quality control of single point positioning and ensured better reliability results.
Highlights
Surveying and navigation industries have been revolutionized over the past three decades by the global navigation satellite system (GNSS)
GNSS integrity refers to the ability of the system to alert users when the navigation system fails or the positioning cannot be used for navigation and positioning [Bei (2010)]
As a measure of the user's availability of information provided by the system and an important parameter, receiver autonomous integrity monitoring (RAIM) refers to monitoring the completeness of user positioning results based on redundant observations from the user receiver
Summary
Surveying and navigation industries have been revolutionized over the past three decades by the global navigation satellite system (GNSS). GNSS integrity refers to the ability of the system to alert users when the navigation system fails or the positioning cannot be used for navigation and positioning [Bei (2010)]. As a measure of the user's availability of information provided by the system and an important parameter, receiver autonomous integrity monitoring (RAIM) refers to monitoring the completeness of user positioning results based on redundant observations from the user receiver. RAIM is the ability to detect and identify the failures in GNSS by using measurements from receiver. In order to solve this problem, this paper proposes a new RAIM algorithm based on fuzzy clustering analysis, which can effectively solve the problem of detection and recognition of multiple gross errors
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