1.

Record Nr.

UNINA9910143193303321

Autore

Grewal Mohinder S

Titolo

Global positioning systems, inertial navigation, and integration [[electronic resource] /] / Mohinder S. Grewal, Lawrence R. Weill, Angus P. Andrews

Pubbl/distr/stampa

Hoboken, NJ, : Wiley-Interscience, c2001

ISBN

1-280-26472-1

9786610264728

0-471-20071-9

Descrizione fisica

1 online resource (415 p.)

Altri autori (Persone)

WeillLawrence R <1938-> (Lawrence Randolph)

AndrewsAngus P

Disciplina

629.045

910

910.282

Soggetti

Global Positioning System

Inertial navigation

Kalman filtering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

CONTENTS; PREFACE; ACKNOWLEDGMENTS; ACRONYMS; 1 Introduction; 1.1 GPS and GLONASS Overview; 1.2 Differential and Augmented GPS; 1.3 Applications; 2 Fundamentals of Satellite and Inertial Navigation; 2.1 Navigation Systems Considered; 2.2 Fundamentals of Inertial Navigation; 2.3 Satellite Navigation; 2.4 Time and GPS; 2.5 User Position Calculations with No Errors; 2.6 User Velocity Calculation with No Errors; Problems; 3 Signal Characteristics and Information Extraction; 3.1 Mathematical Signal Waveform Models; 3.2 GPS Signal Components, Purposes and Properties; 3.3 Signal Power Levels

3.4 Signal Acquisition and Tracking3.5 Extraction of Information for Navigation Solution; 3.6 Theoretical Considerations in Pseudorange and Frequency Estimation; 3.7 Modernization of GPS; 3.8 GPS Satellite Position Calculations; Problems; 4 Receiver and Antenna Design; 4.1 Receiver Architecture; 4.2 Receiver Design Choices; 4.3 Antenna



Design; Problems; 5 GPS Data Errors; 5.1 Selective Availability Errors; 5.2 Ionospheric Propagation Errors; 5.3 Tropospheric Propagation Errors; 5.4 The Multipath Problem; 5.5 How Multipath Causes Ranging Errors; 5.6 Methods of Multipath Mitigation

5.7 Theoretical Limits for Multipath Mitigation5.8 Ephemeris Data Errors; 5.9 Onboard Clock Errors; 5.10 Receiver Clock Errors; 5.11 Error Budgets; Problems; 6 Inertial Navigation; 6.1 Background; 6.2 Inertial Sensors; 6.3 Navigation Coordinates; 6.4 System Implementations; 6.5 System-Level Error Models; Problems; 7 Kalman Filter Basics; 7.1 Introduction; 7.2 State and Covariance Correction; 7.3 State and Covariance Prediction; 7.4 Summary of Kalman Filter Equations; 7.5 Accpmmodating Correlated Noise; 7.6 Nonlinear and Adaptive Implementations; 7.7 Kalman-Bucy Filter

7.8 GPS Receiver ExamplesProblems; 8 Kalman Filter Engineering; 8.1 More Stable Implementation Methods; 8.2 Implementation Requirements; 8.3 Kalman Filter Monitoring; 8.4 Schmidt-Kalman Suboptimal Filtering; 8.5 Covariance Analysis; 8.6 GPS/INS Integration Architectures; Problems; 9 Differential GPS; 9.1 Introduction; 9.2 LADGPS, WADGPS, and WAAS; 9.3 GEO Uplink Subsystem (GUS); 9.4 GEO Uplink Subsystem (GUS) Clock Steering Algorithms; 9.5 GEO Orbit Determination; Problems; Appendix A: Software; A.1 Chapter 3 Software; A.2 Chapter 5 Software; A.3 Chapter 6 Software; A.4 Chapter 7 Software

A.5 Chapter 8 SoftwareAppendix B: Vectors and Matrices; B.1 Scalars; B.2 Vectors; B.3 Matrices; Appendix C: Coordinate Transformations; C.1 Notation; C.2 Inertial Reference Directions; C.3 Coordinate Systems; C.4 Coordinate Transformation Models; GLOSSARY; A; B; C; D; E; F; G; I; L; M; N; P; R; S; T; V; W; Y; REFERENCES; INDEX; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; Y; Z

Sommario/riassunto

The only comprehensive guide to Kalman filtering and its applications to real-world GPS/INS problemsWritten by recognized authorities in the field, this book provides engineers, computer scientists, and others with a working familiarity with the theory and contemporary applications of Global Positioning Systems (GPS), Inertial Navigational Systems, and Kalman filters. Throughout, the focus is on solving real-world problems, with an emphasis on the effective use of state-of-the-art integration techniques for those systems, especially the application of Kalman filtering. To that end, the