Integrity monitoring for kinematic precise point positioning in open-sky environments with improved computational performance
dc.contributor.author | El-Mowafy, Ahmed | |
dc.contributor.author | Wang, Kan | |
dc.date.accessioned | 2022-09-05T06:38:44Z | |
dc.date.available | 2022-09-05T06:38:44Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | El-Mowafy, A. and Wang, K. 2022. Integrity monitoring for kinematic precise point positioning in open-sky environments with improved computational performance. Measurement Science and Technology. 33 (8): ARTN 085004. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/89284 | |
dc.identifier.doi | 10.1088/1361-6501/ac5d75 | |
dc.description.abstract |
Positioning integrity monitoring (IM) is essential for liability- and safety-critical land applications such as road transport. IM methods such as solution separation apply multiple filters, which necessitates the use of computationally efficient algorithms in real-time applications. In this contribution, a new approach that significantly improves the computation time of the measurement update of the Kalman filter is presented, where only one matrix inversion is applied for all filters with measurement subsets. The fault detection and identification method and computation of the protection levels (PLs) are discussed. The computational improvement comes at the expense of a small increase in the PL. Test results for precise point positioning (PPP) with float ambiguities in an open-sky and suburban environment demonstrate the reduced computation time using the proposed approach compared to the traditional method, with 23%-42% improvement. The availability of IM for PPP, i.e. when the PL is less than a selected alert limit of 1.625 m, ranged between 92% and 99%, depending on the allowable integrity risk, tested at 10-5 and 10-6, and the observation environment. | |
dc.language | English | |
dc.publisher | IOP Publishing Ltd | |
dc.relation.sponsoredby | http://purl.org/au-research/grants/arc/DP190102444 | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Science & Technology | |
dc.subject | Technology | |
dc.subject | Engineering, Multidisciplinary | |
dc.subject | Instruments & Instrumentation | |
dc.subject | Engineering | |
dc.subject | GNSS | |
dc.subject | precise point positioning | |
dc.subject | integrity monitoring | |
dc.subject | RAIM USER ALGORITHM | |
dc.subject | SOLUTION SEPARATION | |
dc.subject | PPP | |
dc.title | Integrity monitoring for kinematic precise point positioning in open-sky environments with improved computational performance | |
dc.type | Journal Article | |
dcterms.source.volume | 33 | |
dcterms.source.number | 8 | |
dcterms.source.issn | 0957-0233 | |
dcterms.source.title | Measurement Science and Technology | |
dc.date.updated | 2022-09-05T06:38:43Z | |
curtin.department | School of Earth and Planetary Sciences (EPS) | |
curtin.accessStatus | Open access | |
curtin.faculty | Faculty of Science and Engineering | |
curtin.contributor.orcid | El-Mowafy, Ahmed [0000-0001-7060-4123] | |
curtin.contributor.orcid | Wang, Kan [0000-0001-5688-6937] | |
curtin.contributor.researcherid | Wang, Kan [N-1713-2017] | |
curtin.identifier.article-number | ARTN 085004 | |
dcterms.source.eissn | 1361-6501 | |
curtin.contributor.scopusauthorid | El-Mowafy, Ahmed [7004059531] | |
curtin.contributor.scopusauthorid | Wang, Kan [55621722900] |