Navigation and tracking in space analysis and algorithms
Navigation and Tracking in Space: Analysis and Algorithms -- Contents -- Preface -- Introduction -- Background -- Scope of the Book -- Objectives -- Overview of the Book -- Preliminaries -- Linear Algebra -- Three-Dimensional Rotation Matrices -- Probability -- Motion of an Object in Space -- Refere...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boston, London
Artech House
2024
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| Schriftenreihe: | Artech House GNSS technology and applications
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| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis |
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Tag hinzufügen | Zusammenfassung: | Navigation and Tracking in Space: Analysis and Algorithms -- Contents -- Preface -- Introduction -- Background -- Scope of the Book -- Objectives -- Overview of the Book -- Preliminaries -- Linear Algebra -- Three-Dimensional Rotation Matrices -- Probability -- Motion of an Object in Space -- References -- Space Vehicle Dynamics -- Overview -- Reference Frames -- Earth-Centered Inertial Frame -- Earth-Centered Earth-Fixed Frame -- Topocentric Frame -- Solar Ecliptic Coordinate System -- Reference Frame Conversion -- Force Model -- Perturbation Forces -- Thrust -- State Space Model of Space Vehicles -- Earth Orbiting Satellites -- Launch Vehicle -- Reentry Vehicle -- Interplanetary Spacecraft -- References -- Observations -- Overview -- Ground-Based Observations -- Active and Passive Radio Observations -- Satellite Laser Ranging -- Very Long Baseline Interferometry -- Onboard Observations -- Angular Measurements to Celestial Objects -- Earth-Based Target Reference Measurement -- Range Measurement to Known Beacon -- GNSS Observations -- Dilution of Precision -- Inertial Navigation System -- Summary -- References -- Estimation Algorithms -- Overview -- Space Vehicle Navigation as an Estimation Problem -- Least Square Estimation and Batch Processing -- The Kalman Filter -- The Kalman Filter for Discrete Linear Systems -- Extended Kalman Filter -- Unscented Kalman Filter -- Computationally Efficient Unscented Kalman Filters -- Particle Filter -- Sequential Importance Sampling -- Particle Filter Variants -- Nonlinearity and Choice of Estimator -- Nonlinearity Index -- Nonlinearity and Estimator Performance -- Choosing the Right Estimation Algorithm -- MATLAB® Implementation of Estimation Algorithms -- EKF Implementation -- UKF Implementation -- SPUKF Implementation -- ESPUKF Implementation -- Particle Filter Implementation -- ESP-PF Implementation. |
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| Beschreibung: | Enthält Literaturangaben und Index Description based on publisher supplied metadata and other sources |
| Beschreibung: | xi, 194 Seiten Illustrationen, Diagramme |
| ISBN: | 9781630819200 978-1-63081-920-0 1630819204 1-63081-920-4 |