Adaptive Interference Mitigation in GNSS 内容简介

　　《Adaptive Interference Mitigation in GNSS》向读者介绍了基于多天线的自适应干扰抑制技术，用于全球导航卫星系统（GNSS）的时间，做主要的，空间和时空域。由于全球导航卫星系统的性能很容易受到各种有意和无意干扰的影响，《Adaptive Interference Mitigation in GNSS》详细地探讨了各种干扰，包括干扰、高动态干扰、欺骗、多径和脉冲干扰。它提供了一个有价值的参考咨询工作的研究生和工程师在现场卫星导航信号处理。

Adaptive Interference Mitigation in GNSS 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
3．1 Introduction
3．2 Definition of High-Dynamic and Signal Model
3．3 Null-Widen Spatial Domain Adaptive Filtering Based on Derivative Constraints
3．3．1 Derivative Constraint Power Minimization Algorithm for Uniform Linear Array
3．3．2 Derivative Constraint Power Minimization Algorithm for a Uniform Circular Array
3．3．3 Simulation Results
3．4 Null-Widen Spatial Domain Adaptive Filtering
Based on Covariance Matrix Taper
3．4．1 Mailloux Algorithm
3．4．2 Zatman Algorithm
3．4．3 Laplace Algorithm
3．4．4 Simulation Results
3．5 Null-Widen Space-Time Adaptive Filtering
3．5．1 Space-Time Laplace Null-Widen Algorithm
3．5．2 Reduced Rank Space-Time Null-Widen Algorithm
3．5．3 Simulation Results
3．6 Sparsely Represented Jamming DOA Estimation Algorithm
Based on Small Number of Snapshots
3．6．1 Convex Optimization Algorithm
3．6．2 Greeding Algorithm
3．6．3 Simulation Results
3．7 Summary
References
4 Spoofing Countermeasure Techniques
4．1 Introduction
4．2 Spoofing and the Impacts of Spoofing
4．2．1 Receiver Based Spoofing
4．2．2 Generator Based Spoofing
4．2．3 Spoofing Data Model
4．2．4 Analyses on the Impacts on GNSS Receivers by Spoofing
4．3 Spoofing Detection
4．4 Spoofing Countermeasure
4．4．1 Single Spoofer Suppression
4．4．2 Multiple Spoofer Suppression
4．4．3 Combined Suppression on Jamming and Spoofing
4．4．4 Simulation Results
4．5 Summary
References
5 Multipath Interference Suppression
5．1 Introduction
5．2 Multipath Signal Model and Impact Analyses
5．2．1 Signal Model
5．2．2 Impacts of Multipath Interferences
5．3 Temporal Domain Multipath Interference Suppression '．．
5．3．1 Narrow Correlator Technique

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教材 研究生/本科/专科教材 工学

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