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Performance Comparison of GPS Fault Detection and Isolation via Pseudorange Prediction Model based Test Statistics
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 Title & Authors
Performance Comparison of GPS Fault Detection and Isolation via Pseudorange Prediction Model based Test Statistics
Yoo, Jang-Sik; Ahn, Jong-Sun; Lee, Young-Jae; Sung, Sang-Kyung;
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Fault detection and isolation (FDI) algorithms provide fault monitoring methods in GPS measurement to isolate abnormal signals from the GPS satellites or the acquired signal in receiver. In order to monitor the occurred faults, FDI generates test statistics and decides the case that is beyond a designed threshold as a fault. For such problem of fault detection and isolation, this paper presents and evaluates position domain integrity monitoring methods by formulating various pseudorange prediction methods and investigating the resulting test statistics. In particular, precise measurements like carrier phase and Doppler rate are employed under the assumption of fault free carrier signal. The presented position domain algorithm contains the following process; first a common pseudorange prediction formula is defined with the proposed variations in pseudorange differential update. Next, a threshold computation is proposed with the test statistics distribution considering the elevation angle. Then, by examining the test statistics, fault detection and isolation is done for each satellite channel. To verify the performance, simulations using the presented fault detection methods are done for an ideal and real fault case, respectively.
Fault detection and isolation;GPS;Pseudorange;Kalman filter;Test statistics;
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정적 상태의 이동체 위치 정밀도 향상을 위한 오류 검출 및 배제 기법,안종우;김윤기;이재경;이장명;

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