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Effective Cycle Slip Detection and Identification for High Precision GPS/INS Integrated Systems

Published online by Cambridge University Press:  26 August 2003

Hung-Kyu Lee
Affiliation:
The University of New South Wales, Australia
Jinling Wang
Affiliation:
The University of New South Wales, Australia
Chris Rizos
Affiliation:
The University of New South Wales, Australia

Abstract

To ensure high accuracy results from an integrated GPS/INS system, the carrier phase observables have to be used to update the filter's states. As a prerequisite the integer ambiguities must be resolved before using carrier phase measurements. However, a cycle slip that remains undetected (and uncorrected) will significantly degrade the filter's performance. In this paper, an algorithm that can effectively detect and identify any type of cycle slip is presented. The algorithm uses additional information provided by the INS, and applies a statistical technique known as the cumulative-sum (CUSUM) test. In this approach, cycle slip decision values can be computed from the INS-predicted position (due to the fact that its short-term accuracy is very high), and the CUSUM test used to detect cycle slips (as it is very sensitive to abrupt changes of mean values). Test results are presented to demonstrate the effectiveness of the proposed algorithm.

Type
Research Article
Copyright
© 2003 The Royal Institute of Navigation

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