Fault Detection and Isolation for GNSS Positioning Using Optimized Parity Space Methods

Yiping Jiang, Jinling Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic research


Fault Detection and Isolation (FDI) is essential for navigation systems, for example, Global Navigation Satellite System (GNSS), to sustain a certain integrity
level. With unavoidable random error and model uncertainty, the performance of FDI for such systems is also degraded. This issue, known as robustness, has
attracted great research interests in the control community. In this paper, we try to improve the performance of FDI with optimized parity matrix to decouple the influence of uncertainties and other faults. Improvements in terms of the ability to detect a fault are achieved. Two criteria for detectable sensitivity and isolability are used to explain the results.
Original languageEnglish
Title of host publication2010 Int. Symp. on GPS/GNSS
Publication statusPublished - Oct 2010
Externally publishedYes


  • Fault Detection and Isolation
  • Parity Space
  • Local Test
  • Geometry Optimization
  • Robustness

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