首页> 外文会议>Proceedings of the 17th international technical meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2004) >Improved Tropospheric Delay Estimation for Long Baseline, Carrier-Phase Differential GPS Positioning in a Coastal Environment
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Improved Tropospheric Delay Estimation for Long Baseline, Carrier-Phase Differential GPS Positioning in a Coastal Environment

机译:沿海环境中长基线,载波相位差分GPS定位的改进的对流层延迟估计

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Long baseline, carrier-phase differential GPS positioning in a coastal environment poses unique challenges. It is well known that differential GPS positioning results degrade as baseline length increases due to several sources of error, including the error introduced by differential troposphere. The effect of the troposphere on GPS has been extensively discussed by numerous researchers, either by comparing the resolution of tropospheric prediction models or by assessing the tropospheric delay directly on GPS measurements and results. rnIn order to improve the estimation of tropospheric delay in the coastal environment, a project has been undertaken by the University of New Brunswick (UNB) and the University of Southern Mississippi (USM). The project includes extensive GPS and meteorological data collection in the Bay of Fundy in Canada. The goal of the research is to examine methods for improving tropospheric delay estimation by employing various sources of data. This includes the use of surface meteorological parameters and Numerical Weather Prediction (NWP) model data. For this research, NWP data are accessed from the Canadian Meteorological Centre’s (CMC) regional model and from the National Oceanic and Atmospheric Administration’s (NOAA) tropospheric delay product. Tropospheric delays modelled from the NWP model data are compared with those from global prediction models. Results in this paper will demonstrate the effect of using surface meteorological data and NWP model data to estimate the tropospheric delay in a coastal environment.
机译:在沿海环境中长基线,载波相位差分GPS定位提出了独特的挑战。众所周知,差分GPS定位结果会由于几种误差源(包括差分对流层引入的误差)而随着基线长度的增加而降低。对流层对GPS的影响已被众多研究人员广泛讨论,方法是比较对流层预测模型的分辨率,或者直接在GPS测量和结果上评估对流层延迟。为了改善对沿海环境中对流层延迟的估计,新不伦瑞克大学(UNB)和南密西西比大学(USM)开展了一个项目。该项目包括加拿大芬迪湾的大量GPS和气象数据收集。该研究的目的是研究通过利用各种数据源来改善对流层延迟估计的方法。这包括使用地面气象参数和数值天气预报(NWP)模型数据。对于这项研究,可以从加拿大气象中心(CMC)的区域模型和国家海洋与大气管理局(NOAA)对流层延迟产品中获取NWP数据。将根据NWP模型数据建模的对流层延迟与全球预测模型的对流层延迟进行比较。本文的结果将证明使用地面气象数据和NWP模型数据估算沿海环境中对流层延迟的效果。

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