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СРАВНИТЕЛЬНЫЙ АНАЛИЗ МОДЕЛЕЙ ТРОПОСФЕРНОЙ ЗАДЕРЖКИ В ЗАДАЧЕ ОПРЕДЕЛЕНИЯ МЕСТОПОЛОЖЕНИЯ ВЫСОКОЙ ТОЧНОСТИ В СПУТНИКОВЫХ НАВИГАЦИОННЫХ СИСТЕМАХ ГЛОНАСС/GPS

СРАВНИТЕЛЬНЫЙ АНАЛИЗ МОДЕЛЕЙ ТРОПОСФЕРНОЙ ЗАДЕРЖКИ В ЗАДАЧЕ ОПРЕДЕЛЕНИЯ МЕСТОПОЛОЖЕНИЯ ВЫСОКОЙ ТОЧНОСТИ В СПУТНИКОВЫХ НАВИГАЦИОННЫХ СИСТЕМАХ ГЛОНАСС/GPS

Abstract

В связи с массовым и разнообразным применением спутниковой навигации растут требования к ее точности. В последнее время идет активная работа по развитию методов определения местоположения высокой точности. Тропосферная задержка является одним из серьезных факторов в ошибке определения местоположения. В статье производится сравнительный анализ моделей тропосферной задержки в аспекте их эффективности для компенсации тропосферной задержки в задаче автономного определения местоположения высокой точности. Рассматриваются следующие модели тропосферной задержки радиосигналов: модель Блэка, модель Гоада Гудмана, модель Гоада Гудмана с дополнительным учетом высоты от геоида, модель университета Нью Брусвика, модель Саастамойнена, модель GCAT, модель MOPS, модель Нейлла.

Due to massive usage of satellite navigation systems in the world precision requirements become more important. In the last year there is a big development of Precision Point Positioning (PPP) methods. Thropospheric delay is one of the biggest sources of errors in positioning solution. In article the quality of error prediction is analysed for tropospheric delay models in PPP. There are the following models analysed: Black, Goad-Gutman, Goad-Gutman with height, University of New Brunswick, Saastamoinen, GCAT, MOPS, Neill. The special interest for PPP is in GCAT, MOPS and Neill models as they do not require weather information.

Keywords

СНС, ГЛОНАСС, ТРОПОСФЕРНАЯ ЗАДЕРЖКА, ОПРЕДЕЛЕНИЕ МЕСТОПОЛОЖЕНИЯ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze
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