作者简介 Renbiao Wu is the Tianjin Professor and the Director of the Tianjin Key Lab for Advanced Signal Processing at the Civil Aviation University of China. He received his B.Sc. and M.Sc. in Electrical Engineering from the Northwest Polytechnic University in 1988 and 1991 respectively, and his Ph.D. in Electrical Engineering from Xidian University in 1994. He has worked at the Imperial College of London, the University of Florida, and Virginia Tech as a Distinguished Research Scholar, Visiting Professor, and Postdoctoral Fellow for 5 years. His research interests include adaptive array signal processing and spectral estimation, espely in regards to their applications in GNSS and radar. He has published over 300 peer-reviewed papers, and ten plus books and book chapters. He is the recipient of the Chinese National Outstanding Young Investigator Award in 2003.
目录 1 Principles of Satellite Navigation System 1.1 Introduction 1.2 Development and Current Status of GNSS 1.2.1 GPS 1.2.2 GLONASS 1.2.3 Galileo 1.2.4 Beidou 1.3 Composition of GNSS 1.4 GNSS Signals 1.4.1 GNSS Signal Structure 1.4.2 Transmission Carrier 1.4.3 Ranging Code 1.4.4 Navigation Message 1.5 GNSS Receiver 1.5.1 Types of GNSS Receivers 1.5.2 Working Principle of GNSS Receivers 1.6 The Impacts of Interference on GNSS Receivers 1.7 Summary References 2 Jamming Suppression 2.1 Introduction 2.2 Temporal Domain and Frequency Domain Adaptive Filtering. 2.2.1 Temporal Domain Filtering 2.2.2 Frequency Domain Filter 2.2.3 Simulation Results 2.3 Conventional Spatial Domain Adaptive Filtering 2.3.1 Adaptive Array Overview 2.3.2 Statistical Optimal Beamforming 2.3.3 Power Minimization Algorithm 2.4 Spatial Domain Adaptive Filtering Using Periodic Repetitive Characteristic of GNSS Signals 2.4.1 Periodic Repetitive Characteristic of GNSS Signals 2.4.2 SCORE Algorithm 2.4.3 Single-Channel Single-Delay Crosscorrelation Algorithm 2.4.4 Multiple Channel Single Delay Cross Correlation Algorithm 2.4.5 Simulation Results 2.5 Spatial Domain Adaptive Filtering Using Known Spreading Code Information 2.5.1 Least-Squares De-spread Re-spread Multi-target Array... 2.5.2 New De-spread Re-spread Jamming Mitigation Algorithm 2.5.3 Simulation Results 2.5.4 Results on Hardware Platform Experiments 2.6 Space Time Adaptive Filtering 2.6.1 Space-Time Processing Data Model 2.6.2 Space-Time Power Minimization Algorithm 2.6.3 Space-Time De-spread Re-spread Algorithm 2.6.4 Reduced Rank Space-Time Adaptive Filtering Algorithm 2.6.5 Impacts on GNSS Signal by Space-Time Processing and Equalization Technique 2.6.6 Simulation Results 2.7 Summary References 3 High-Dynamic GNSS Jamming Suppression Techniques
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