Results 21 to 30 of about 1,062 (188)

Establishment of a Real-Time Local Tropospheric Fusion Model

Remote Sensing, 2019
The tropospheric delay is one major error source affecting the precise positioning provided by the global navigation satellite system (GNSS). This error occurs because the GNSS signals are refracted while travelling through the troposphere layer ...
Yibin Yao, Xingyu Xu, Chaoqian Xu, Wenjie Peng, Yangyang Wan   +4 more
doaj   +1 more source

ATMOSPHERIC PHASE DELAY IN SENTINEL SAR INTERFEROMETRY [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The repeat-pass Synthetic Aperture Radio Detection and Ranging (RADAR) Interferometry (InSAR) has been a widely used geodetic technique for observing the Earth’s surface, especially for mapping the Earth’s topography and deformations.
V. Krishnakumar, O. Monserrat, M. Crosetto, B. Crippa   +3 more
doaj   +1 more source

Prediction of tropospheric wet delay by an artificial neural network model based on meteorological and GNSS data

Engineering Science and Technology, an International Journal, 2020
Estimation of tropospheric wet delay is of great importance for real-time weather forecasting applications. In the last decade, based on troposphere wet delays obtained from Global Navigation Satellite System observations, high temporal and spatial ...
Mahmut Oguz Selbesoglu
doaj   +1 more source

Tropospheric Delay Estimation for Pseudolite Positioning [PDF]

Journal of Global Positioning Systems, 2005
Pseudolites, ground-based GPS signal transmitters, can significantly enhance the GPS satellite geometry or can even be an independent positioning system. However, as pseudolites are very close to the receivers, error effects are different from the traditional GPS and should be considered and modeled in a different way.
Jianguo Jack Wang, Jinling Wang, David Sinclair, Leo Watts, Hung Kyu lee   +4 more
openaire   +1 more source

Assessment of Empirical Troposphere Model GPT3 Based on NGL’s Global Troposphere Products

Sensors, 2020
Tropospheric delay is one of the major error sources in GNSS (Global Navigation Satellite Systems) positioning. Over the years, many approaches have been devised which aim at accurately modeling tropospheric delays, so-called troposphere models.
Junsheng Ding, Junping Chen
doaj   +1 more source

The Impact of Tropospheric Anomalies on Sea-Based JPALS Integrity

Sensors, 2018
The Joint Precision Approach Landing System (JPALS) addresses tropospheric errors through double-difference and tropospheric model correction. Large residuals occur with two types of tropospheric anomalies: the vertical duct and horizontal non-nominal ...
Yue Zhang, Zhipeng Wang
doaj   +1 more source

Individual Wave Propagations in Ionosphere and Troposphere Triggered by the Hunga Tonga-Hunga Ha’apai Underwater Volcano Eruption on 15 January 2022

Remote Sensing, 2022
The devastating Hunga Tonga-Hunga Ha’apai underwater volcano erupted at ~04:15 UT on 15 January 2022. We captured the waves that erupted from the volcano propagating in the ionosphere by monitoring total electron content (TEC) perturbations utilizing ...
Chieh-Hung Chen, Xuemin Zhang, Yang-Yi Sun, Fei Wang, Tien-Chi Liu, Chi-Yen Lin, Yongxin Gao, Jun Lyu, Xiaobing Jin, Xiaoli Zhao, Xiang Cheng, Pengyu Zhang, Qiyu Chen, Dixin Zhang, Zhiqiang Mao, Jann-Yenq Liu   +15 more
doaj   +1 more source

A model for converging tropospheric delay corrections

Highlights in Science, Engineering and Technology, 2023
In response to the current problem that tropo-spheric delay correction is constrained by the measured meteorological parameters, resulting in low efficiency and limited application, this paper proposes a GE-Sa fusion model combining GPT2w and EGNOS models.
Ling Ling, Chenglin Cai
openaire   +1 more source

Comparison of Tropospheric Signal Delay Models for GNSS Error Simulation [PDF]

Journal of Astronomy and Space Sciences, 2009
As one of the GNSS error simulation case studies, we computed tropospheric signal delays based on three well-known models (Hopfield, Modified Hopfield and Saastamoinen) and a simple model. In the computation, default meteorological values were used.
Hye-In Kim, Jihyun Ha, Kwan-Dong Park, Sanguk Lee, Jaehoon Kim   +4 more
doaj   +1 more source

Estimating Zenith Tropospheric Delay Based on GPT2w Model [PDF]

IEEE Access, 2019
To precisely and conveniently estimate zenith tropospheric delay (ZTD), troposphere refractivity is deduced through global pressure and temperature 2w (GPT2w) model and surface meteorology devices, ZTD is estimated based on integration of refractivity in the zenith direction. When surface meteorological measurements are absent, all parameters including
Zan Liu, Xihong Chen, Qiang Liu 0001
openaire   +2 more sources