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Ground-based radio positioning / / authors, Kegen Yu, Ian Sharp, and Y. Jay Guo
| Ground-based radio positioning / / authors, Kegen Yu, Ian Sharp, and Y. Jay Guo |
| Autore | Yu Kegen |
| Pubbl/distr/stampa | Chichester, West Sussex, U.K. ; ; Hoboken, NJ, : Wiley, c2009 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina | 621.384/191 |
| Altri autori (Persone) |
SharpIan
GuoY. Jay |
| Collana | Wiley - IEEE |
| Soggetto topico |
Location-based services
Radio direction finders Mobile geographic information systems |
| ISBN |
1-282-18632-9
9786612186325 0-470-74798-6 0-470-74796-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
About the Authors -- Preface -- Acknowledgments -- 1 Introduction -- 1.1 Introduction to Radio Positioning -- 1.2 Short and Medium-range Radiolocation Technologies -- 1.3 Overview of the Book -- References -- 2 Radio Propagation -- 2.1 Statistical Multipath Theory -- 2.2 Radio Propagation Characteristics at Different Distance Scales -- 2.3 Measurements -- 2.4 Excess Delays in Radio Propagation -- 2.5 Antenna Effects -- References -- 3 Signal Detection by Correlation -- 3.1 Transmitter Signal -- 3.2 Receiver Signal Processing -- References -- 4 Bandlimited Time-of-Arrival Measurements -- 4.1 Wideband Multipath Theorem -- 4.2 Bandlimited Correlogram Characteristics -- 4.3 Model of Bandlimited Correlogram -- 4.4 Peak-Tracking Algorithm Performance -- 4.5 Leading-edge Projection Tracking Algorithm -- 4.6 Leading-edge Ratio Algorithm -- 4.7 Multipath Phase -- 4.8 Performance Summary of Tracking Algorithms -- References -- 5 Fundamentals of Positioning Systems -- 5.1 Navigation Systems and Tracking Systems -- 5.2 System Architecture -- 5.3 Overview of Position Determination -- 5.4 Indoor Performance Issues -- References -- 6 Noniterative Position Determination -- 6.1 Basic Positioning Methods -- 6.2 Linearization-Based Least-Squares Methods -- 6.3 Spherical Interpolation Approach -- 6.4 Quasi-Least-Squares Solution -- 6.5 Linear-Correction Least-Squares Approach -- References -- 7 Iterative Position Determination -- 7.1 Iterative Algorithms -- 7.2 Filtering-based Methods -- 7.3 Data Smoothing -- References -- 8 Positioning Accuracy Evaluation -- 8.1 Accuracy Measures -- 8.2 Cramer-Rao Lower Bound in Line-of-Sight Conditions -- 8.3 Derivation of Cramer-Rao Lower Bound in Non-Line-of-Sight Conditions -- 8.4 Approximate Variance of Linear Least-Squares Algorithm -- 8.5 Accuracy Comparison -- Annex 8.A: Components of the Fisher Information Matrix -- References -- 9 Geometric Dilution of Precision Analysis -- 9.1 Geometric Error Analysis -- 9.2 Statistical Error Analysis -- 9.3 Calculation of Geometric Dilution of Precision.
9.4 Accuracy Probabilities -- 9.5 Special Cases: Analytical Solutions to Geometric Dilution of Precision -- 9.6 Geometric Dilution of Precision Performance -- References -- 10 Multipath Mitigation -- 10.1 Residual-Weighting-based Method -- 10.2 Filtering-based Method -- 10.3 Constrained Optimization -- 10.4 Scatterer-based Method -- 10.5 Error Statistics -- 10.6 Propagation-Model-based Method -- 10.7 Pattern Matching -- 10.8 Performance Analysis -- Annex 10.A: Sequential Quadratic Programming Algorithm -- Annex 10.B: Equation Coefficients -- References -- 11 Anchor-based Localization for Wireless Sensor Networks -- 11.1 Characteristics of Wireless Sensor Networks -- 11.2 Coarse Localization Methods -- 11.3 Global Localization Methods -- 11.4 Localization with Unknown Internal Delays and Clock Offsets -- References -- 12 Anchor Position Accuracy Enhancement -- 12.1 Impact of Anchor Location Accuracy on Sensor Node Localization -- 12.2 Line-of-Sight and Non-Line-of-Sight Propagation Models -- 12.3 Anchor Position Accuracy Bound -- 12.4 Accuracy Improvement Based on Distance and Angle Estimates -- 12.5 Accuracy Improvement Based on Distance Estimates -- Annex 12.A: Definition of Matrix and Vector in Line-of-Sight Conditions -- Annex 12.B: Definition of Matrix and Vector in Non-Line-of-Sight Conditions -- References -- 13 Anchor-free Localization -- 13.1 Robust Quads -- 13.2 Multidimensional Scaling Method -- 13.3 Mass-Spring Model -- 13.4 Hybrid Approach -- 13.5 Graphical Model -- 13.6 Clustering and Stitching -- 13.7 Referent Coordinate System Establishment -- 13.8 Cramer-Rao Lower Bound -- 13.9 Accuracy of Location Estimates -- 13.10 Distance-Error-based Accuracy Measure -- 13.11 Accuracy Evaluation -- References -- 14 Non-Line-of-Sight Identification -- 14.1 Data Smoothing -- 14.2 Distribution Tests -- 14.3 Calculating Level Crossing Rate and Fade Duration -- 14.4 Estimating the Rician Factor -- 14.5 Generalized Likelihood Ratio Test -- 14.6 Nonparametric Method -- 14.7 Using Intermediate Location Estimation. 14.8 Neyman-Pearson Test -- 14.9 Joint Time-of-Arrival and Received Signal Strength-based Approaches -- 14.10 Angle-of-Arrival-based Methods -- Annex 14.A: Proofs of Theorems and Corollary -- Annex 14.B: Derivation of the Probability of Detection -- References -- Appendix A: Hyperbolic Navigation -- A.1 Analytical Equations of a Hyperbola -- A.2 Solution to Hyperbolic Navigation -- A.3 Solution to Example Problem -- Appendix B: Radio Propagation Measurement Techniques -- B.1 Measurements with a Network Analyzer -- B.1.1 Measurements with a Reference Cable -- B.1.2 Calibration of Antennas -- B.1.3 Propagation Measurements -- B.2 Time-Domain Measurements -- Index. |
| Record Nr. | UNINA-9910876549703321 |
Yu Kegen
|
||
| Chichester, West Sussex, U.K. ; ; Hoboken, NJ, : Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Ground-based wireless positioning / / Kegen Yu, Ian Sharp and Y. Jay Guo
| Ground-based wireless positioning / / Kegen Yu, Ian Sharp and Y. Jay Guo |
| Autore | Yu Kegen |
| Pubbl/distr/stampa | Chichester, West Sussex, U.K. ; , : Wiley, , 2009 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina | 621.384 |
| Altri autori (Persone) |
SharpIan
GuoY. Jay |
| Collana | Wiley - IEEE |
| Soggetto topico |
Location-based services
Radio direction finders Mobile geographic information systems |
| ISBN |
1-282-18632-9
9786612186325 0-470-74798-6 0-470-74796-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
About the Authors -- Preface -- Acknowledgments -- 1 Introduction -- 1.1 Introduction to Radio Positioning -- 1.2 Short and Medium-range Radiolocation Technologies -- 1.3 Overview of the Book -- References -- 2 Radio Propagation -- 2.1 Statistical Multipath Theory -- 2.2 Radio Propagation Characteristics at Different Distance Scales -- 2.3 Measurements -- 2.4 Excess Delays in Radio Propagation -- 2.5 Antenna Effects -- References -- 3 Signal Detection by Correlation -- 3.1 Transmitter Signal -- 3.2 Receiver Signal Processing -- References -- 4 Bandlimited Time-of-Arrival Measurements -- 4.1 Wideband Multipath Theorem -- 4.2 Bandlimited Correlogram Characteristics -- 4.3 Model of Bandlimited Correlogram -- 4.4 Peak-Tracking Algorithm Performance -- 4.5 Leading-edge Projection Tracking Algorithm -- 4.6 Leading-edge Ratio Algorithm -- 4.7 Multipath Phase -- 4.8 Performance Summary of Tracking Algorithms -- References -- 5 Fundamentals of Positioning Systems -- 5.1 Navigation Systems and Tracking Systems -- 5.2 System Architecture -- 5.3 Overview of Position Determination -- 5.4 Indoor Performance Issues -- References -- 6 Noniterative Position Determination -- 6.1 Basic Positioning Methods -- 6.2 Linearization-Based Least-Squares Methods -- 6.3 Spherical Interpolation Approach -- 6.4 Quasi-Least-Squares Solution -- 6.5 Linear-Correction Least-Squares Approach -- References -- 7 Iterative Position Determination -- 7.1 Iterative Algorithms -- 7.2 Filtering-based Methods -- 7.3 Data Smoothing -- References -- 8 Positioning Accuracy Evaluation -- 8.1 Accuracy Measures -- 8.2 Cramer-Rao Lower Bound in Line-of-Sight Conditions -- 8.3 Derivation of Cramer-Rao Lower Bound in Non-Line-of-Sight Conditions -- 8.4 Approximate Variance of Linear Least-Squares Algorithm -- 8.5 Accuracy Comparison -- Annex 8.A: Components of the Fisher Information Matrix -- References -- 9 Geometric Dilution of Precision Analysis -- 9.1 Geometric Error Analysis -- 9.2 Statistical Error Analysis -- 9.3 Calculation of Geometric Dilution of Precision.
9.4 Accuracy Probabilities -- 9.5 Special Cases: Analytical Solutions to Geometric Dilution of Precision -- 9.6 Geometric Dilution of Precision Performance -- References -- 10 Multipath Mitigation -- 10.1 Residual-Weighting-based Method -- 10.2 Filtering-based Method -- 10.3 Constrained Optimization -- 10.4 Scatterer-based Method -- 10.5 Error Statistics -- 10.6 Propagation-Model-based Method -- 10.7 Pattern Matching -- 10.8 Performance Analysis -- Annex 10.A: Sequential Quadratic Programming Algorithm -- Annex 10.B: Equation Coefficients -- References -- 11 Anchor-based Localization for Wireless Sensor Networks -- 11.1 Characteristics of Wireless Sensor Networks -- 11.2 Coarse Localization Methods -- 11.3 Global Localization Methods -- 11.4 Localization with Unknown Internal Delays and Clock Offsets -- References -- 12 Anchor Position Accuracy Enhancement -- 12.1 Impact of Anchor Location Accuracy on Sensor Node Localization -- 12.2 Line-of-Sight and Non-Line-of-Sight Propagation Models -- 12.3 Anchor Position Accuracy Bound -- 12.4 Accuracy Improvement Based on Distance and Angle Estimates -- 12.5 Accuracy Improvement Based on Distance Estimates -- Annex 12.A: Definition of Matrix and Vector in Line-of-Sight Conditions -- Annex 12.B: Definition of Matrix and Vector in Non-Line-of-Sight Conditions -- References -- 13 Anchor-free Localization -- 13.1 Robust Quads -- 13.2 Multidimensional Scaling Method -- 13.3 Mass-Spring Model -- 13.4 Hybrid Approach -- 13.5 Graphical Model -- 13.6 Clustering and Stitching -- 13.7 Referent Coordinate System Establishment -- 13.8 Cramer-Rao Lower Bound -- 13.9 Accuracy of Location Estimates -- 13.10 Distance-Error-based Accuracy Measure -- 13.11 Accuracy Evaluation -- References -- 14 Non-Line-of-Sight Identification -- 14.1 Data Smoothing -- 14.2 Distribution Tests -- 14.3 Calculating Level Crossing Rate and Fade Duration -- 14.4 Estimating the Rician Factor -- 14.5 Generalized Likelihood Ratio Test -- 14.6 Nonparametric Method -- 14.7 Using Intermediate Location Estimation. 14.8 Neyman-Pearson Test -- 14.9 Joint Time-of-Arrival and Received Signal Strength-based Approaches -- 14.10 Angle-of-Arrival-based Methods -- Annex 14.A: Proofs of Theorems and Corollary -- Annex 14.B: Derivation of the Probability of Detection -- References -- Appendix A: Hyperbolic Navigation -- A.1 Analytical Equations of a Hyperbola -- A.2 Solution to Hyperbolic Navigation -- A.3 Solution to Example Problem -- Appendix B: Radio Propagation Measurement Techniques -- B.1 Measurements with a Network Analyzer -- B.1.1 Measurements with a Reference Cable -- B.1.2 Calibration of Antennas -- B.1.3 Propagation Measurements -- B.2 Time-Domain Measurements -- Index. |
| Record Nr. | UNINA-9910139768603321 |
|
Yu Kegen
|
||
| Chichester, West Sussex, U.K. ; , : Wiley, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Ground-based wireless positioning / / Kegen Yu, Ian Sharp and Y. Jay Guo
| Ground-based wireless positioning / / Kegen Yu, Ian Sharp and Y. Jay Guo |
| Autore | Yu Kegen |
| Pubbl/distr/stampa | Chichester, West Sussex, U.K. ; , : Wiley, , 2009 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina | 621.384 |
| Altri autori (Persone) |
SharpIan
GuoY. Jay |
| Collana | Wiley - IEEE |
| Soggetto topico |
Location-based services
Radio direction finders Mobile geographic information systems |
| ISBN |
1-282-18632-9
9786612186325 0-470-74798-6 0-470-74796-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
About the Authors -- Preface -- Acknowledgments -- 1 Introduction -- 1.1 Introduction to Radio Positioning -- 1.2 Short and Medium-range Radiolocation Technologies -- 1.3 Overview of the Book -- References -- 2 Radio Propagation -- 2.1 Statistical Multipath Theory -- 2.2 Radio Propagation Characteristics at Different Distance Scales -- 2.3 Measurements -- 2.4 Excess Delays in Radio Propagation -- 2.5 Antenna Effects -- References -- 3 Signal Detection by Correlation -- 3.1 Transmitter Signal -- 3.2 Receiver Signal Processing -- References -- 4 Bandlimited Time-of-Arrival Measurements -- 4.1 Wideband Multipath Theorem -- 4.2 Bandlimited Correlogram Characteristics -- 4.3 Model of Bandlimited Correlogram -- 4.4 Peak-Tracking Algorithm Performance -- 4.5 Leading-edge Projection Tracking Algorithm -- 4.6 Leading-edge Ratio Algorithm -- 4.7 Multipath Phase -- 4.8 Performance Summary of Tracking Algorithms -- References -- 5 Fundamentals of Positioning Systems -- 5.1 Navigation Systems and Tracking Systems -- 5.2 System Architecture -- 5.3 Overview of Position Determination -- 5.4 Indoor Performance Issues -- References -- 6 Noniterative Position Determination -- 6.1 Basic Positioning Methods -- 6.2 Linearization-Based Least-Squares Methods -- 6.3 Spherical Interpolation Approach -- 6.4 Quasi-Least-Squares Solution -- 6.5 Linear-Correction Least-Squares Approach -- References -- 7 Iterative Position Determination -- 7.1 Iterative Algorithms -- 7.2 Filtering-based Methods -- 7.3 Data Smoothing -- References -- 8 Positioning Accuracy Evaluation -- 8.1 Accuracy Measures -- 8.2 Cramer-Rao Lower Bound in Line-of-Sight Conditions -- 8.3 Derivation of Cramer-Rao Lower Bound in Non-Line-of-Sight Conditions -- 8.4 Approximate Variance of Linear Least-Squares Algorithm -- 8.5 Accuracy Comparison -- Annex 8.A: Components of the Fisher Information Matrix -- References -- 9 Geometric Dilution of Precision Analysis -- 9.1 Geometric Error Analysis -- 9.2 Statistical Error Analysis -- 9.3 Calculation of Geometric Dilution of Precision.
9.4 Accuracy Probabilities -- 9.5 Special Cases: Analytical Solutions to Geometric Dilution of Precision -- 9.6 Geometric Dilution of Precision Performance -- References -- 10 Multipath Mitigation -- 10.1 Residual-Weighting-based Method -- 10.2 Filtering-based Method -- 10.3 Constrained Optimization -- 10.4 Scatterer-based Method -- 10.5 Error Statistics -- 10.6 Propagation-Model-based Method -- 10.7 Pattern Matching -- 10.8 Performance Analysis -- Annex 10.A: Sequential Quadratic Programming Algorithm -- Annex 10.B: Equation Coefficients -- References -- 11 Anchor-based Localization for Wireless Sensor Networks -- 11.1 Characteristics of Wireless Sensor Networks -- 11.2 Coarse Localization Methods -- 11.3 Global Localization Methods -- 11.4 Localization with Unknown Internal Delays and Clock Offsets -- References -- 12 Anchor Position Accuracy Enhancement -- 12.1 Impact of Anchor Location Accuracy on Sensor Node Localization -- 12.2 Line-of-Sight and Non-Line-of-Sight Propagation Models -- 12.3 Anchor Position Accuracy Bound -- 12.4 Accuracy Improvement Based on Distance and Angle Estimates -- 12.5 Accuracy Improvement Based on Distance Estimates -- Annex 12.A: Definition of Matrix and Vector in Line-of-Sight Conditions -- Annex 12.B: Definition of Matrix and Vector in Non-Line-of-Sight Conditions -- References -- 13 Anchor-free Localization -- 13.1 Robust Quads -- 13.2 Multidimensional Scaling Method -- 13.3 Mass-Spring Model -- 13.4 Hybrid Approach -- 13.5 Graphical Model -- 13.6 Clustering and Stitching -- 13.7 Referent Coordinate System Establishment -- 13.8 Cramer-Rao Lower Bound -- 13.9 Accuracy of Location Estimates -- 13.10 Distance-Error-based Accuracy Measure -- 13.11 Accuracy Evaluation -- References -- 14 Non-Line-of-Sight Identification -- 14.1 Data Smoothing -- 14.2 Distribution Tests -- 14.3 Calculating Level Crossing Rate and Fade Duration -- 14.4 Estimating the Rician Factor -- 14.5 Generalized Likelihood Ratio Test -- 14.6 Nonparametric Method -- 14.7 Using Intermediate Location Estimation. 14.8 Neyman-Pearson Test -- 14.9 Joint Time-of-Arrival and Received Signal Strength-based Approaches -- 14.10 Angle-of-Arrival-based Methods -- Annex 14.A: Proofs of Theorems and Corollary -- Annex 14.B: Derivation of the Probability of Detection -- References -- Appendix A: Hyperbolic Navigation -- A.1 Analytical Equations of a Hyperbola -- A.2 Solution to Hyperbolic Navigation -- A.3 Solution to Example Problem -- Appendix B: Radio Propagation Measurement Techniques -- B.1 Measurements with a Network Analyzer -- B.1.1 Measurements with a Reference Cable -- B.1.2 Calibration of Antennas -- B.1.3 Propagation Measurements -- B.2 Time-Domain Measurements -- Index. |
| Record Nr. | UNINA-9910829833703321 |
|
Yu Kegen
|
||
| Chichester, West Sussex, U.K. ; , : Wiley, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Theory and practice of GNSS reflectometry / / Kegen Yu
| Theory and practice of GNSS reflectometry / / Kegen Yu |
| Autore | Yu Kegen |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (376 pages) |
| Disciplina | 910.285 |
| Collana | Navigation: Science and Technology |
| Soggetto topico | Global Positioning System |
| ISBN | 981-16-0411-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- 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.
4.4.2 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. 8.1.1 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. 10.2.1 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. |
| Record Nr. | UNINA-9910484134303321 |
|
Yu Kegen
|
||
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||