China Satellite Navigation Conference (CSNC 2024) Proceedings : Volume I / edited by Changfeng Yang, Jun Xie.

Format:

• Book

Author/Creator:

• Yang, Changfeng.

Contributor:

• Xie, Jun.

Series:

• Lecture Notes in Electrical Engineering, 1876-1119 ; 1092

Language:

English

Subjects (All):

• Telecommunication.
• Signal processing.
• Aerospace engineering.
• Astronautics.
• Automatic control.
• Robotics.
• Automation.
• Geographic information systems.
• Communications Engineering, Networks.
• Signal, Speech and Image Processing.
• Aerospace Technology and Astronautics.
• Control, Robotics, Automation.
• Geographical Information System.

Local Subjects:

• Communications Engineering, Networks.
• Signal, Speech and Image Processing.
• Aerospace Technology and Astronautics.
• Control, Robotics, Automation.
• Geographical Information System.

Physical Description:

1 online resource (569 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

This book presents selected research papers from China Satellite Navigation Conference (CSNC) 2024, held in Jinan, China, on 22–24 May 2024. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS) and in particular the latest advances in the China BeiDou System (BDS). They are divided into 8 topics to match the corresponding sessions at CSNC 2024, which broadly covered key topics in GNSS. Readers learn about the BDS and keep abreast of the latest advances in GNSS technologies and applications.

Contents:

• Intro
• Editorial Board
• Preface
• Contents
• GNSS Applications
• UAV Dam Crack Detection System Based on Beidou and LIDAR
• 1 Introduction
• 2 Current Status of Research
• 3 System Introduction
• 4 System Implementation
• 4.1 Data Acquisition
• 4.2 Data Management
• 4.3 Data Processing
• 4.4 Control Center
• 5 Crack Detection Simulation Experiment
• 6 Innovation and Application Prospects
• 6.1 Innovation Points
• 6.2 Application Prospects
• 6.3 Uncertainties and Shortcomings
• References
• Beidou+5G-Based Plug-In Data Platform to Enhance the Accuracy of Smart Terminal App Applications
• 2 Plug-In Data Platform Design
• 3 Experimental Results and Analysis
• 3.1 Quality Comparison of GNSS Observations
• 3.2 Navigation and Positioning Results and Analysis
• 4 Conclusions
• Analysis on Effects of L-Band Solar Radio Bursts on GNSS
• 2 Background
• 2.1 Surveillance Background
• 2.2 Fundamentals of Data
• 3 Effects on Receiving Signals
• 3.1 Analysis of Carrier-To-Noise Ratio Interference of GPS Signal in IGS Tracking Stations
• 3.2 Interference Analysis of Carrier-To-Noise Ratio of Swarm Satellites GPS Signal
• 3.3 The Relationship Between Altitude Angle of the Receiver to the Sun and the Change of Its Carrier-To-Noise Ratio
• 3.4 Characteristic of Interference
• 4 Effects on Positioning
• 5 Conclusion
• GNSS-IR Retrieval of Soil Moisture in Sugarcane Plantation Based on Cross-Correlation Satellite Selection Method
• 2 Principles and Methods
• 3 Experiment Analysis
• 4 Conclusion
• Extraction of Soil Moisture Based GNSS-R Considering Vegetation Factors
• 2 Observation Data
• 2.1 CYGNSS GNSS-R Data
• 2.2 SMAP Data
• 2.3 ISMN Data
• 3 Methodology
• 4 Results and Analysis.
• 4.1 Evaluation at Quasi-global Scale
• 4.2 Validation at In-situ Sites
• 5 Conclusion and Discussion
• A Non-contact Tilt Compensation Method Based on Monocular Camera/GNSS/INS
• 2 Coordinate System, Symbol Definition
• 3 Basic Model of Non-contact Measurement
• 4 Error Analysis of Non-contact Measurement
• 5 Camera Attitude Optimization
• 5.1 Get Camera Prior Pose
• 5.2 Reconstruction of 3D Model
• 5.3 Optimizing Camera Pose
• 6 Experiment and Results
• 6.1 Experimental Design
• 6.2 Experimental Results
• 7 Conclusion
• CYGNSS High Spatiotemporal Resolution Flood Monitoring Based on POBI Interpolation: A Case Study of 2022 Pakistan Catastrophic Floods
• 2 Data and Methods
• 2.1 Study Area
• 2.2 CYGNSS Data
• 2.3 SMAP Data and SMOS Data
• 2.4 CYGNSS SR
• 2.5 POBI Spatial Interpolation Method
• 3 Results
• 3.1 SR Threshold
• 3.2 SMAP Flood Monitoring Results
• 3.3 CYGNSS Flood Monitoring Results After POBI Interpolation
• Modeling and Performance Evaluation of TomoSAR System Based on Reflected Signal of Beidou Navigation Satellite
• 2 Signal Model of GNSS-TomoSAR
• 3 GNSS-TomoSAR Performance Indicators
• 4 Verification by Simulation
• Soil Moisture Inversion Based on Dual-Frequency Signal of QZSS GEO Satellite
• 2 Experiment Theory
• 2.1 Principle of GNSS-R Soil Moisture Inversion
• 2.2 QZSS System and L1 C/A, L5 Signal Characteristics
• 2.3 Signal Power Acquisition
• 3 Experiment and Results
• 3.1 Area of Study
• 3.2 Soil Moisture Detection Results
• 4 Generalize
• Comparison and Analysis of Tidal Level Monitoring Accuracy Between GNSS-IR and Satellite Altimetry
• 2 Datasets Description
• 2.1 Datasets.
• 2.2 Unification of Time Bases
• 2.3 Elevation Datum Conversion
• 2.4 Principle of GNSS-IR Technology
• 2.5 Principle of Satellite Altimetry Technology
• 3 Comparison and Characterization of Tide Level Monitoring Between GNSS-IR and Satellite Altimetry
• Performance Assess of BDS-3 PPP-B2b Signal Service and Its Application in Precipitable Water Vapor Retrieval
• 2 Methodology
• 2.1 The Theoretical Methods of PPP
• 2.2 The Atmospheric Water Vapor Retrieval Method Based on PPP-B2b Signal
• 3 Evaluation of the PPP-B2b Signal Service Range
• 3.1 Accuracy Evaluation of Satellite Orbit Corrected by PPP-B2b Signal
• 3.2 Accuracy Evaluation of Satellite Clock Offset Corrected by PPP-B2b Signal
• 3.3 Evaluation of PPP-B2b Service Performance
• 4 Application of PPP-B2b Signal in Water Vapor Retrieval
• 4.1 Accuracy Evaluation of ZTD
• 4.2 Accuracy Evaluation of PWV
• Deformation Monitoring Experiment and Data Analysis of Beidou Surface Deformation Measuring Radar and GBSAR
• 2 Introduction to Beidou Surface Deformation Measurement Radar
• 3 Data Acquisition and Deformation Inversion
• 3.1 Experimental Design and Data Acquisition
• 3.2 PS Point Selection and Error Compensation
• 3.3 Three-Dimensional Deformation Inversion
• 3.4 Comparison of Deformation with Monitoring Points
• 4 Experimental Results
• Research on Zenith Tropospheric Delay Model Based on TCN Improving HGPT2 Model
• 2 Data
• 3 Models and Methods
• 3.1 GPT3 Model
• 3.2 HGPT2 Model
• 3.3 Temporal Convolutional Network
• 4 Experiment and Discussion
• 4.1 Comparison Between HGPT2ZTD and GPT3 ZTD
• 4.2 Accuracy of TCNZTD
• Prediction of Ionospheric TEC Based on BLS-LSTM-GRU Hybrid Model.
• 1 Introduce
• 2 Data and Preprocessing
• 2.1 Data
• 2.2 Pretreatment
• 3 Methods
• 3.1 Width Learning Network Principle and Structure
• 3.2 Principles and Structure of the LSTM Neural Network
• 3.3 Principles and Structure of GRU Gated Cycle Unit Network
• 3.4 A Hybrid Model Based on the BLS-LSTM-GRU
• 4 Experiment
• 4.1 Data Collation and Experimental Setup
• 4.2 Evaluation Indicators
• 4.3 Accuracy Assessment of Different Test Sites
• 4.4 Assessment of Accuracy Under Different Geomagnetic Conditions
• Heavy Rainfall Prediction Model Using Sample Entropy Derived from GNSS-PWV and PSO-SVM
• 2 Study Area and PWV Sample Entropy Extraction
• 2.2 The Method of GNSS Inversion PWV
• 2.3 GNSS-PWV Time Domain Feature Extraction
• 2.4 GNSS-PWV Sample Entropy Extraction
• 3 PSO-SVM-Based Heavy Rainfall Prediction Model
• 3.1 PSO-SVM Algorithm
• 3.2 Model for Predicting Heavy Rainfall
• 3.3 Evaluation Indicators
• 4 Results and Discussion
• 4.1 Feature Correlation Analysis
• 4.2 Effect of Different Features on Model Prediction Results
• 4.3 Impact of Different Machine Learning Algorithms on Model Prediction Results
• 4.4 Forecasting Model Comparison
• High Precision ZTD Model for the Chinese Southeast Region Using ERA5 Reanalysis Data
• 2 Elevation Normalization Factor Grid
• 2.1 Calculate ZTD by ERA5 Reanalysis Data
• 2.2 Elevation Normalization Factor Fit
• 3 ZTD Spatial and Temporal Characteristics Analysis
• 4 Regional Troposphere Zenith Total Delay Grid Model
• Research on the Construction of "BeiDou Navigation Satellite System Application Industry Development Index" System
• 1 Background
• 1.1 Present Situation Analysis
• 1.2 Necessity
• 2 System Design.
• 2.1 Construction Purpose
• 2.2 Modeling Method
• 2.3 Algorithm
• 2.4 Data Sources
• 2.5 Construction of the BDTT
• 2.6 BDI Report Form
• 3 Achievements
• 4 BDI Value Mining and Scenario Application Research
• 4.1 Social Value Mining and Application: "BeiDou Low Carbon Monitor Index"
• 4.2 Economic Value Mining and Application: "BDS Investment Index"
• 4.3 Scientific and Technological Value Mining and Application: "BDS Scientific Research Index"
• 4.4 Commercial Value Mining and Application: BDTT
• 4.5 Mining and Application of Industrial Chain Ecological Value: Research on BDS Industry Derivative Business
• Design and Implementation of Integrated Navigation and Positioning System for Towed Streamer Marine Seismic Exploration
• 2 Requirements Analysis
• 2.1 Real-Time Navigation and Positioning Scene
• 2.2 Near-real-time Navigation and Positioning Scene
• 2.3 Positioning Data Post-processing Scene
• 3 Design of Crucial Algorithms
• 3.1 Real-Time Algorithm
• 3.2 Near-real-time Algorithm
• 3.3 Post-processing Algorithm
• 5 System Verification
• 5.1 Simulation Data Experiment
• 5.2 Measured Data Experimental Validation
• 6 Conclusion
• Analysis of GNSS Coordinate Time Series in North China by Independent Component Analysis
• 2.1 GNSS Coordinate Time Series
• 2.2 Coordinate Time Series Fitting Model
• 2.3 Noise Analysis on Residual Coordinate Time Series
• 2.4 Spatial Noise Analysis of Residual Time Series
• 3 Results and Analysis
• 3.1 Noise Model of GNSS Residual Coordinate Time Series
• 3.2 Spatiotemporal Decomposition by ICA and CME Signal Identification
• 3.3 The Influence of CME on GNSS Coordinate Time Series
• 4 Conclusions and Prospect
• References.
• A Machine-Learning-Based Missing Data Interpolation Method for GNSS Time Series.

Other Format:

Print version: Yang, Changfeng China Satellite Navigation Conference (CSNC 2024) Proceedings

ISBN:

• 9789819969289
• 981996928X

OCLC:

1407313355