New reliability measure for dynamic surveying systems and its applications in dynamic system quality control

Minghai Jia, Chris Rizos, Xiaoli Ding

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

The important difference between a static surveying system (SSS) and a dynamic surveying system (DSS) is the inclusion of the state equations, besides the observation equations, in DSS models. The state equations reflect the operating characteristics of a DSS. Therefore, the reliability measures of a DSS should ideally be able to describe the ability of the system for the detection and identification of blunders (gross errors) in both of the state and the observation models. In this paper, the redundancy numbers and their distribution in DSS are employed as the reliability measures of DSS models. It is proved through both theoretical derivations and numerical examples, (1) that both the observations and the predicted state parameters contribute to the redundancy, hence to the reliability of a DSS; (2) that the amount of the redundancy contribution depends on many factors, including the state transition matrix, the number of state parameters, the state noise, the observation matrix, the number and type of observations, the observation noise and the data sampling rate; and (3) that the sum of the redundancy numbers of a DSS equals the number of observations in a DSS. The concept of internal and external reliability is also extended from SSS to DSS.
Original languageEnglish
Title of host publicationProceedings of ION GPS
Pages1215-1223
Number of pages9
Publication statusPublished - 1 Dec 1996
Externally publishedYes
EventProceedings of the 1996 9th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GPS-96. Part 2 (of 2) - Kansas City, MO, United States
Duration: 17 Sep 199620 Sep 1996

Conference

ConferenceProceedings of the 1996 9th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GPS-96. Part 2 (of 2)
CountryUnited States
CityKansas City, MO
Period17/09/9620/09/96

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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