1 Ocak 2021 Dergi makalesi Açık Erişim

Bahadur, Berkay; Nohutcu, Metin

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{
  "@context": "https://schema.org/", 
  "@id": 231342, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Hacettepe Univ, Dept Geomat Engn, TR-06800 Ankara, Turkey", 
      "name": "Bahadur, Berkay"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Hacettepe Univ, Dept Geomat Engn, TR-06800 Ankara, Turkey", 
      "name": "Nohutcu, Metin"
    }
  ], 
  "datePublished": "2021-01-01", 
  "description": "Although the emergence of new satellite systems offers considerable opportunities, the integration of Global Navigation Satellite System (GNSS) multi-constellation entails more complicated approaches, especially for stochastic modeling. This study proposes a filtering approach that combines robust Kalman filtering and variance component estimation to specify the weights of multi-GNSS observations in single-frequency positioning. In this approach, robust Kalman filter resists the impact of unexpected outliers by introducing the equivalent covariance matrix, while multi-GNSS observation variances are determined adaptively in each epoch by using variance component estimation. The study demonstrated that the proposed filtering approach determines the variances of multi-GNSS observations more rigorously as a result of the assessment of the observation residuals. The results also showed that the positioning accuracy of single-frequency multi-GNSS positioning that depends on the conventional weighting approaches is improved by 18.5% on average with the employment of the proposed filtering approach and its improvement ratio can exceed 30% in some stations.", 
  "headline": "Integration of variance component estimation with robust Kalman filter for single-frequency multi-GNSS positioning", 
  "identifier": 231342, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Integration of variance component estimation with robust Kalman filter for single-frequency multi-GNSS positioning", 
  "url": "https://aperta.ulakbim.gov.tr/record/231342"
}