Results 11 to 20 of about 5,763,393 (289)

Analysis of BDS-3 PPP-B2b Positioning and Time Transfer Service

open access: yesRemote Sensing, 2022
With the completion of the BeiDou global navigation satellite system (BDS-3), the BeiDou Navigation Satellite System Signal In Space Interface Control Document Precise Point Positioning Service Signal PPP-B2b (Version 1.0) was officially announced, and ...
Runzhi Zhang   +9 more
doaj   +1 more source

A high-precision bidirectional time-transfer system over a single fiber based on wavelength-division multiplexing and time-division multiplexing

open access: yesFrontiers in Physics, 2023
In this paper, a high-precision bidirectional time-transfer system over a single fiber based on wavelength-division multiplexing and time-division multiplexing (SFWDM-TDM) is proposed, which combines the advantages of wavelength-division multiplexing and
Xinxing Guo   +12 more
doaj   +1 more source

Galileo Time Transfer with Five-Frequency Uncombined PPP: A Posteriori Weighting, Inter-Frequency Bias, Precise Products and Multi-Frequency Contribution

open access: yesRemote Sensing, 2022
Galileo satellites can broadcast signals on five frequencies, namely E1, E5A, E5B, E5 (A+B), and E6. The multi-frequency integration has become an emerging trend in Global Navigation Satellite System (GNSS) data processing.
Zhehao Zhang, Lin Pan
doaj   +1 more source

An Interstation Undifferenced Real-Time Time Transfer Method with Refined Modeling of Receiver Clock

open access: yesRemote Sensing, 2023
Due to their advantages of high measurement accuracy and wide coverage, global navigation satellite systems (GNSSs) can carry out long-distance time transfers, among which the precise point positioning (PPP) method is widely used.
Dong Lyu   +5 more
doaj   +1 more source

Performance of BDS-2/3, GPS, and Galileo Time Transfer with Real-Time Single-Frequency Precise Point Positioning

open access: yesRemote Sensing, 2021
Single-frequency (SF) receivers are much cheaper than that of dual-frequency (DF). Even though DF precise point positioning (PPP) is nowadays applied in the time community, the cost of equipment is one of the key considerations for time users ...
Xia Xiao   +4 more
doaj   +1 more source

Time transfer and significance of vertical land motion in relativistic geodesy applications: a review paper

open access: yesFrontiers in Earth Science, 2023
Determination of the Earth’s gravity field and geopotential value is one of the fundamental topics in physical geodesy. Traditional terrestrial gravity and precise leveling measurements can be used to determine the geopotential values at a local or ...
Mohammad Bagherbandi   +4 more
doaj   +1 more source

Evaluation of the Effect of Higher-Order Ionospheric Delay on GPS Precise Point Positioning Time Transfer

open access: yesRemote Sensing, 2020
In high-precision GPS precise point positioning (PPP) time transfer, errors caused by the effect of ionosphere delay have to be corrected. Usually the ionosphere-free combinations of the pseudo code and the carrier phase is used in GPS PPP data ...
Haiyan Yang   +4 more
doaj   +1 more source

A BDGIM-Based Phase-Smoothed Pseudorange Algorithm for BDS-3 High-Precision Time Transfer

open access: yesApplied Sciences, 2022
Single point positioning (SPP) can meet the requirements of the majority of real-time time transfer applications. Meanwhile, a single-frequency (SF) receiver is cheaper than a dual-frequency receiver.
Jian Tang, Daqian Lyu, Fangling Zeng
doaj   +1 more source

Retirement, intergenerational time transfers, and fertility [PDF]

open access: yesEuropean Economic Review, 2020
Abstract Retired parents might invest time in their adult children by providing childcare. Such intergenerational time transfers can have important implications for family decisions. This paper estimates the effects of parental retirement on the fertility of their adult children.
Eibich, Peter, Siedler, Thomas
openaire   +4 more sources

Transfer learning for time series classification [PDF]

open access: yes, 2018
Transfer learning for deep neural networks is the process of first training a base network on a source dataset, and then transferring the learned features (the network's weights) to a second network to be trained on a target dataset.
Fawaz, Hassan Ismail   +4 more
core   +1 more source

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