The advancement of software radio technology has provided an opportunity for the design of performance-enhanced GNSS receivers that are more flexible and easier to develop than their FPGA or ASIC based counterparts. Filling a gap in the current literature on the subject, this highly practical resource offers you an in-depth understanding of navigation signal detection and estimation algorithms and their implementation in a software radio. This unique book focuses on high precision applications for GNSS signals and an innovative RTK receiver concept based on difference correlators. You learn how to develop navigation receivers for top performance using basic algorithms, like correlation and tracking, which can be understood on an intuitive level. Additionally, the book provides you with a theoretical framework for signal estimation and detection that gives you the knowledge you need to make performance assessments without building a receiver. The theoretical treatment also gives you hints for choosing optimal algorithms for your projects in the field.
Radio Navigation Signals - Signal Generation. Signal Propagation. Signal Conditioning. Motivation for a Generic Signal Model. Sampling. Deterministic Received Signal Model. Stochastic Noise Model. Short-Period Signal Model. Exemplary Signals. ; Software-Defined Radio - Definitions. Communication Radios. GNSS Software Receivers. Technology Evaluation and Discussion. ; GNSS Receiver Structure and Dataflow - GNSS Sample Handling. Module Diagram. Execution Flow. GNSS Reference Station Configuration. Discussion. ; Signal Estimation - Parameters of Interest. Nonrandom Parameter Estimation. LSQ Correlators/Discriminators. Data Reduction. Bayesian Approach. Squaring Loss Revisited. Numerical Simulation. Discussion. ; Signal Detection - Detection Principles. Detection Domains. Preprocessing. Clairvoyant Detector for Uniformly Distributed Phase. Energy Detector. Bayesian Detector. Generalized Likelihood-Ratio Detector. System-Detection Performance. Long Integration Times and Differential Detectors. Discussion. ; Sample Preprocessing - ADC Quantization. Noise-Floor Determination. ADC Requirements for Pulse Blanking. Handling Colored Noise. Sub-Nyquist Sampling.; Correlators - Correlator and Waveform-Based Tracking. Generic Correlator. Correlator Types with Illustration. Difference Correlators. Noisy Reference Signal for Codeless Tracking. Incorporating Colored Noise. Comparison of Finite and Infinite Sample Rates. ; Discriminators - Noncoherent Discriminators. S-Curve Shaping. Multipath Estimating Techniques. From Discriminator Noise to Position Accuracy. ; Receiver Core Operations - Test-System Configuration. Signal-Sample Bit Conversion. Resampling. Correlators. Fast Fourier Transform. Reality Check for Signal Tracking. Power Consumption. Discussion. ; GNSS SDR RTK System Concept - Technology Enablers. System Overview. Key Algorithms and Components. High-Sensitivity Acquisition Engine. Assisted Tracking. Low-Cost Pseudolites. RTK Engine. ; Exemplary Source Code - Intended Use. Setup. Routines. ; Appendix. Abbreviations. List of Symbols. About the Author. Index ;
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Thomas Pany
Thomas Pany is a senior research engineer at IFEN GmbH in Germany, a company that is heavily involved building the Galileo system including GNSS receivers. He received a Ph.D. from the Graz University of Technology in Austria for his work on modeling GPS and synthetic aperture radar signal propagation within the troposphere. Dr. Pany has authored over hundred papers in the field of positioning, GNSS receivers, Galileo signal structure and GPS science.