A mathematical guide to the algorithmic aspects of GPS, complete with numerous ready-made MATLAB codes for the reader.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Gilbert Strang is a professor of mathematics at the Massachusetts Institute of Technology, where his research focuses on analysis, linear algebra and PDEs. In addition, he is the author of many textbooks and his service to the mathematics community is extensive, having spent time as President of SIAM, Chair of the Joint Policy Board for Mathematics as well as membership of various other committees and boards. The awards that Professor Strang has received for his research and teaching include the Chauvenet Prize (1976), the Award for Distinguished Service (SIAM, 2003), the Graduate School Teaching Award (MIT, 2003) and the Von Neumann Prize Medal of the U.S. Association for Computational Mechanics (2005), among others. He is a Member of the National Academy of Sciences, a Fellow of the American Academy of Arts and Sciences and an Honorary Fellow of Balliol College, Oxford.
Inhaltsangabe
Preface and outline Abbreviations The mathematics of GPS A GPS software receiver Part I. Satellite Signals and Coordinate Systems: 1. Essential ideas and applications of GNSS 2. GNSS signals and modulations 3. Change of coordinate systems Part II. Optimal Estimates: 4. Random variables and covariance matrices 5. Random processes 6. Linear algebra for weighted least squares 7. Singular normal equations and networks 8. Kalman filters Part III. Positioning Algorithms: 9. Receiver position from one-way pseudoranges 10. Differences of one-way observations Part IV. Geodesy and Earth Coordinates: 11. Geometry of the ellipsoid 12. Conformal mappings of the ellipsoid Glossary Bibliography Index of M-files Index.
Preface and outline Abbreviations The mathematics of GPS A GPS software receiver Part I. Satellite Signals and Coordinate Systems: 1. Essential ideas and applications of GNSS 2. GNSS signals and modulations 3. Change of coordinate systems Part II. Optimal Estimates: 4. Random variables and covariance matrices 5. Random processes 6. Linear algebra for weighted least squares 7. Singular normal equations and networks 8. Kalman filters Part III. Positioning Algorithms: 9. Receiver position from one-way pseudoranges 10. Differences of one-way observations Part IV. Geodesy and Earth Coordinates: 11. Geometry of the ellipsoid 12. Conformal mappings of the ellipsoid Glossary Bibliography Index of M-files Index.
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