ARP Fault Detection and Isolation: Method and Results

Brown, R. Grover; Chin, Gerald Y.; Kraemer, John H.; Nim, Giau C.; Van Dyke, Karen

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ARP Fault Detection and Isolation: Method and Results

1993-12-01
By Brown, R. Grover ; Chin, Gerald Y. ; Kraemer, John H.

File Language:

English

Details

Creators:

Brown, R. Grover ; Chin, Gerald Y. ; Kraemer, John H. ; Nim, Giau C. ; Van Dyke, Karen
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Corporate Contributors:

United States. Federal Aviation Administration ; United States. Dept. of Transportation. Office of Research and Special Programs
Subject/TRT Terms:
Publication/ Report Number:

DOT-VNTSC-FA460-PM-93-21
Resource Type:

Memorandum
Geographical Coverage:

United States
Corporate Publisher:

John A. Volpe National Transportation Systems Center (U.S.)
Abstract:

This study describes the development of a Receiver Autonomous Integrity Monitoring (RAIM) algorithm to meet the requirements for sole means navigation. The algorithm, referred to as a Fault Detection and Isolation (FDI) algorithm, is required not only to detect the presence of a faulty satellite in the navigation solution, but also to identify the faulty satellite and remove it from the solution. The project memorandum describes the development of the algorithm, algorithm testing, and compares its performance to that of a somewhat similar Fault Detection and Exclusion (FDE) algorithm. The FDE algorithm operates with a set of six satellites and does not attempt to explicitly identify the faulty satellite, but merely to exclude it from the solution. The results of an FDI availability study for CONUS are also given. These results are based upon GPS augmentation with measurements from a barometric altimeter. Augmentations of GPS with geostationary and GLONASS satellites are also evaluated. FDI availability is given for the en route, terminal, and nonprecision approach phases of flight.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/38654/dot_38654_DS1.pdf
File Type:

[PDF - 1.27 MB]
Collection(s):

Volpe Center
Main Document Checksum:

urn:sha256:dcdaf0212773491ec0f5ea34793ba1e0882c3b1c096a3f222c6cab24247003c7

File Language:

English

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