{"title":"导航完整性的dia方法","authors":"P. Teunissen","doi":"10.12716/1001.17.01.16","DOIUrl":null,"url":null,"abstract":": In this contribution we present a review of the DIA ‐ method to ensure navigational integrity. The DIA ‐ method rigorously combines parameter estimation and statistical testing for the Detection, Identification and Adaptation of multivariate and multiple model misspecifications. We describe the statistical properties of the so ‐ obtained DIA ‐ estimator together with its probability density function. Numerical examples are given to highlight various aspects of the navigational DIA ‐ estimator.","PeriodicalId":46009,"journal":{"name":"TransNav-International Journal on Marine Navigation and Safety of Sea Transportation","volume":"14 1-4 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The DIA-Method for Navigational Integrity\",\"authors\":\"P. Teunissen\",\"doi\":\"10.12716/1001.17.01.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": In this contribution we present a review of the DIA ‐ method to ensure navigational integrity. The DIA ‐ method rigorously combines parameter estimation and statistical testing for the Detection, Identification and Adaptation of multivariate and multiple model misspecifications. We describe the statistical properties of the so ‐ obtained DIA ‐ estimator together with its probability density function. Numerical examples are given to highlight various aspects of the navigational DIA ‐ estimator.\",\"PeriodicalId\":46009,\"journal\":{\"name\":\"TransNav-International Journal on Marine Navigation and Safety of Sea Transportation\",\"volume\":\"14 1-4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TransNav-International Journal on Marine Navigation and Safety of Sea Transportation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12716/1001.17.01.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TransNav-International Journal on Marine Navigation and Safety of Sea Transportation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12716/1001.17.01.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
: In this contribution we present a review of the DIA ‐ method to ensure navigational integrity. The DIA ‐ method rigorously combines parameter estimation and statistical testing for the Detection, Identification and Adaptation of multivariate and multiple model misspecifications. We describe the statistical properties of the so ‐ obtained DIA ‐ estimator together with its probability density function. Numerical examples are given to highlight various aspects of the navigational DIA ‐ estimator.