LEADER 07438nam 2200469 450 001 9910484134303321 005 20231110230524.0 010 $a981-16-0411-8 035 $a(CKB)4100000011912237 035 $a(MiAaPQ)EBC6578020 035 $a(Au-PeEL)EBL6578020 035 $a(OCoLC)1249471557 035 $a(PPN)255293143 035 $a(EXLCZ)994100000011912237 100 $a20211211d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTheory and practice of GNSS reflectometry /$fKegen Yu 210 1$aGateway East, Singapore :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (376 pages) 225 1 $aNavigation: Science and Technology ;$vv.9 311 $a981-16-0410-X 327 $aIntro -- Preface -- Contents -- 1 Introduction -- 1.1 Brief History of GNSS Reflectometry -- 1.2 Challenges and Future Directions -- 1.3 Overview of the Book -- References -- 2 Navigation Satellite Constellations and Navigation Signals -- 2.1 Navigation Satellite Systems -- 2.1.1 Global Positioning System -- 2.1.2 Glonass -- 2.1.3 BeiDou Navigation Satellite System -- 2.1.4 Galileo Navigation Satellite System -- 2.1.5 QZSS and IRNSS -- 2.1.6 Satellite Visibility -- 2.2 PRN Codes and Multiple Access -- 2.2.1 m-Sequence -- 2.2.2 Gold Codes -- 2.2.3 Multiple Access -- 2.3 Carrier Modulation -- 2.3.1 BPSK Modulation -- 2.3.2 QPSK Modulation -- 2.3.3 Variants of QPSK Modulation -- 2.3.4 Binary-Offset-Carrier Modulation -- 2.4 Composition of Navigation Signals -- 2.5 Transmission of GNSS Signals -- References -- 3 Signal Scattering and Reception Schemes -- 3.1 First Fresnel Zone -- 3.1.1 Semi-major and Semi-minor Axes -- 3.1.2 Simplified Elliptical Equation and Resultant Error -- 3.2 Signal Power Based Estimation of Object Width in Forest -- 3.3 GNSS-R Receiver -- 3.3.1 Brief Description of Hardware Receiver -- 3.3.2 Signal Processor -- 3.4 Receiver Platforms -- 3.4.1 Ground-Based Platform -- 3.4.2 Airborne Platform -- 3.4.3 Spaceborne Platform -- 3.5 Summary -- References -- 4 Theoretical Fundamentals of GNSS Reflectometry -- 4.1 Interferometric Signal Reception -- 4.1.1 Signal Modeling -- 4.1.2 Amplitude Attenuation Factor of Reflected Signal -- 4.1.3 Signal-To-Noise Ratio -- 4.1.4 Composite Excess Phase -- 4.1.5 Multipath-Induced Pseudorange Measurement Error -- 4.2 Delay-Doppler Map and Delay Map -- 4.2.1 Surface Scattering -- 4.2.2 Received Signal Power -- 4.3 Wavelet Denoising -- 4.3.1 Wavelet Transform Theory -- 4.3.2 DWT Realization -- 4.3.3 Denoising Procedure -- 4.4 Spectral Analysis of Unevenly Sampled Data -- 4.4.1 Unevenly Sampled Data. 327 $a4.4.2 Lomb-Scargle Periodogram -- 4.5 Summary -- References -- 5 Sea Surface Altimetry -- 5.1 Estimating Relative Delay of Reflected Signal -- 5.1.1 Relative Delay -- 5.1.2 Multipath Interference -- 5.1.3 Power Ratio Based Relative Delay Estimation -- 5.2 A Two-Loop Approach for Estimation of Sea Surface Height -- 5.2.1 Geometrical Relationship -- 5.2.2 Algorithm Flowchart -- 5.2.3 Calculating Total Path Length -- 5.2.4 Updating Sea Surface Height Estimate -- 5.2.5 Determining Power Ratio -- 5.2.6 Algorithm Complexity Reduction -- 5.2.7 Calibration -- 5.3 An Airborne Experiment and Results -- 5.3.1 Experiment Setup -- 5.3.2 Lidar-Based Mean Sea Level and Wave Statistics Measurement -- 5.3.3 Data Processing and Delay Waveform Generation -- 5.3.4 Peak Power Based Relative Delay Measurements and Error Statistics -- 5.3.5 Statistics of Ideal Power Ratio -- 5.3.6 Joint Power-Ratio and SSH Estimation -- 5.4 Spaceborne Altimetry -- 5.5 Summary -- References -- 6 Sea Surface Wind Speed Estimation -- 6.1 Modeling of Sea Wave Spectrum and Received Signal Power -- 6.1.1 Elfouhaily Model -- 6.1.2 Theoretical Waveform of Received Signal Power -- 6.2 Near Sea Surface Wind Speed Retrieval -- 6.3 An Airborne Experiment and Results -- 6.3.1 Experiment Campaign -- 6.3.2 Data Processing -- 6.3.3 Wind Speed Estimation Results -- 6.4 Spaceborne Wind Speed Estimation -- 6.4.1 DDM Data Preprocessing -- 6.4.2 Empirical Modeling -- 6.4.3 Model Validation -- 6.5 Summary -- References -- 7 Sea Ice Detection -- 7.1 DDM Data Processing -- 7.2 DDM Observables -- 7.3 Sea Ice and Seawater Detection -- 7.3.1 Performance Index -- 7.3.2 Detection Performance -- 7.4 Sec Ice Concentration Estimation -- 7.4.1 Estimation Method -- 7.4.2 Estimation Performance -- 7.5 Summary -- References -- 8 Snow Depth and Snow Water Equivalent Estimation -- 8.1 SNR-Based Snow Depth Estimation. 327 $a8.1.1 Basic Method -- 8.1.2 Data Fusion Based Improvement -- 8.2 Daul-Frequency Carrier Phase Combination Based Method -- 8.3 Triple-Frequency Carrier Phase Combination Based Method -- 8.3.1 Triple-Frequency Carrier Phase Combination -- 8.3.2 Property of Triple-Frequency Phase Combination -- 8.3.3 An Example of Triple-Frequency Phase Combination -- 8.3.4 Theoretical Modeling -- 8.3.5 A Practical Example -- 8.4 Carrier Phase and Pseudorange Combination Based Snow Depth Estimation -- 8.4.1 Single-Frequency Combination Based Method -- 8.4.2 Dual-Frequency Combination Based Method -- 8.5 Dual Receiver System Based Snow Depth Estimation -- 8.5.1 Combination Methods -- 8.5.2 Spectral Peak Frequency Analysis -- 8.5.3 Theoretical Model -- 8.5.4 Experimental Results -- 8.6 Snow Water Equivalent Estimation -- 8.6.1 Data Preprocessing -- 8.6.2 Empirical Model -- 8.6.3 Algorithm of SNR-Based SWE Estimation -- 8.6.4 Model Verification -- 8.7 Summary -- References -- 9 Soil Moisture Measurement -- 9.1 A Classic Soil Moisture Estimation Method -- 9.2 Signal Power Based Soil Moisture Estimation -- 9.3 SNR Based Method -- 9.3.1 Fundamental Theory -- 9.3.2 Definition of a Statistic -- 9.3.3 Definition of Observation Variable -- 9.3.4 Development and Verification of Empirical Models -- 9.4 GEO Satellite Based Method -- 9.4.1 GEO-IR Based Soil Moisture Estimation -- 9.4.2 GEO-R Based Soil Moisture Estimation -- 9.5 An Airborne Experiment for Soil Moisture Measurement -- 9.5.1 Selection of Experimental Site -- 9.5.2 Design of Flight Trajectory and Actual Ground Tracks -- 9.6 Summary -- References -- 10 Tsunami Detection and Parameter Estimation -- 10.1 Tsunami Modeling -- 10.1.1 Examples of Tsunami Waveforms -- 10.1.2 A Single Triangle Based Modeling -- 10.1.3 Two Triangles Based Modeling -- 10.2 Average Bin Based Tsunami Detection. 327 $a10.2.1 Noise Corrupted SSH Measurement -- 10.2.2 Method Description -- 10.2.3 Hypothesis Testing -- 10.2.4 Signal-To-Noise Ratio and Bin Size -- 10.2.5 Simulation Results -- 10.3 Tsunami Reconstruction -- 10.3.1 Wavelet Based Noise Reduction for Tsunami Reconstruction -- 10.3.2 Simulation Results -- 10.3.3 Cramer-Rao Lower Bound -- 10.4 Tsunami Parameter Estimation -- 10.4.1 Tsunami Propagation Direction and Speed Estimation -- 10.4.2 Tsunami Wavelength Estimation -- 10.5 Summary -- References. 410 0$aNavigation: Science and Technology 606 $aGlobal Positioning System 615 0$aGlobal Positioning System. 676 $a910.285 700 $aYu$b Kegen$0845916 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484134303321 996 $aTheory and practice of GNSS 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