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Yongsheng Liu
Researcher at Southeast University
Publications - 5
Citations - 77
Yongsheng Liu is an academic researcher from Southeast University. The author has contributed to research in topics: GNSS applications & Pseudorange. The author has an hindex of 2, co-authored 4 publications receiving 39 citations.
Papers
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Journal ArticleDOI
Real-time Precise Point Positioning with a Xiaomi MI 8 Android Smartphone.
TL;DR: The main purpose of this work is to explore the best real-time positioning performance that can be achieved on a smartphone without reference stations, and shows that using multi-GNSS systems data can effectively improve positioning performance.
Book ChapterDOI
Pseudo-Range Single Point and Differential Positioning Accuracy Test Based on Android Smartphone
TL;DR: This paper mainly explains how to obtain the GNSS raw data of Android smartphone, and uses the Huawei P10 and Xiaomi 8 smartphones installed with self-developed real-time positioning APP to positioning test and analysis accuracy of single-frequency pseudo-range single-point, dual- frequencies pseudo- range single point and pseudo-Range differential positioning.
Patent
Smart-phone-based high-precision single-point positioning method and device
TL;DR: In this paper, a smart-phone-based high-precision single-point positioning method and device is presented, which consists of acquiring observation values, like a pseudo-range and a carrier phase, of an original GNSS of a smart phone; preprocessing data to weaken some error influences and then forming a non-combined model for the original observation values based on an improved accurate single point positioning method for estimating a double-clock difference.
Patent
High-precision single-point positioning method and apparatus based on smartphone
TL;DR: In this paper, the authors proposed a high-precision single-point positioning method and apparatus based on a smartphone, wherein the same fall within the technical field of satellite positioning.
Journal ArticleDOI
The Atmospheric Vertical Detection of Large Area Regions Based on Interference Signal Denoising of Weighted Adaptive Kalman Filter
TL;DR: In this paper , a Fourier transform spectrometer was used for atmospheric vertical detection and hyperspectral remote sensing over large area ranges in the long-wavelength infrared (LWIR) band.