Navigation in Space by X-ray Pulsars
Details
This book covers modeling of X-ray pulsar signals and explains how X-ray pulsar signals can be used to solve the relative navigation problem. It formulates the problem, proposes a recursive solution and analyzes different aspects of the navigation system.
Navigation in Space by X-ray Pulsars will consist of two parts. One is on modeling of X-ray pulsar signals. The second part explains how X-ray pulsar signals can be used to solve the relative navigation problem. This book formulates the problem, proposes a recursive solution, and analyzes different aspects of the navigation system. This book will be a comprehensive source for researchers. It provides new research results on signal processing techniques needed for X-ray pulsar based navigation in deep space.
Provides a comprehensive framework for X-ray pulsar signal processing techniques Formulates the relative navigation problem between two spacecraft based on X-ray pulsar measurements Examines solutions to X-ray pulsar based relative navigation integrating the navigation system with Inertial Measurement Units (IMUs) Includes supplementary material: sn.pub/extras
Autorentext
Dr. Emadzadeh is a design engineer with Vantage Surgical Systems Inc. As a student he won the UCLA graduate division fellowship award in 2005.
Jason Speyer is a Professor of Mechanical and Aerospace Engineering with a joint appointment in Electrical Engineering. He received his B.S. degree in (Aeronautics & Astronautics from MIT in 1960 and his M.S. and Ph.D. degrees from Harvard University in 1965 and 1968. He is a member of the National Academy of Engineering.
Klappentext
This monograph on different aspects of utilizing X-ray pulsars for navigation of spacecraft in space contains two unique features. First, it provides a solid mathematical formulation for the absolute and relative navigation problems based on use of X-ray pulsar measurements. Second, it presents a comprehensive framework for signal processing techniques needed to obtain the navigation solution.
Navigation in Space by X-ray Pulsars opens with background knowledge on pulsars and a review of the literature on pulsar-based navigation. It then presents the navigation problem and develops the X-ray pulsar signal models, formulating and analyzing the pulse delay estimation problem through these models. It proposes different pulse delay estimators and, using these estimators, provides a recursive algorithm to obtain the navigation solution. Closing with suggestions for future work in the field, this monograph is aimed at students, researchers and industry practitioners involved with new space navigation techniques.
Inhalt
1 Prologue.- 1.1 Current Spacecraft Navigation Systems.- 1.2 Pulsar-Based Relative Navigation.- 1.2.1 Why Relative Navigation? Why Celestial-Based Systems?- 1.2.2 Pulsars.- 1.2.3 Why Use X-ray Pulsars for Navigation?- 1.2.4 History of Pulsar-Based Navigation.- 1.3 Proposed Navigation System Structure.- 1.4 Thesis Outline.- 2 Signal Modeling.- 2.1 X-ray Detectors.- 2.2 X-ray Pulsar Signal.- 2.2.1 Constant-Frequency Model.- 2.2.2 Time-Dependent-Frequency Model.- 2.3 Discussion.- 2.4 Epoch Folding.- 2.4.1 Effect of Velocity Errors.- 2.5 Generating Photon TOAs.- 2.6 Simulation.- 3 Pulse Delay Estimation.- 3.1 Pulse Delay Estimation.- 3.2 The Cramér-Rao Lower Bound (CRLB).- 3.3 Discussion.- 3.4 Simulation.- 4 Pulse Delay Estimation Using Epoch Folding.- 4.1 Cross Correlation Technique.- 4.2 Nonlinear Least Squares Technique.- 4.3 Simulation.- 5 Pulse Delay Estimation via Direct Use of TOAs.- 5.1 Maximum-Likelihood Estimator (MLE).- 5.2 Numerical Determination of the MLE.- 5.3 Simulation.- 6 Recursive Position Estimation.- 6.1 System Dynamics.- 6.2 Measurements.- 6.3 Discrete-Time Estimation Process.- 6.4 Discussion.- 6.5 Simulation.- 7 Epilogue References.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Gewicht 213g
- Autor Jason Lee Speyer , Amir Abbas Emadzadeh
- Titel Navigation in Space by X-ray Pulsars
- Veröffentlichung 13.10.2014
- ISBN 1489997598
- Format Kartonierter Einband
- EAN 9781489997593
- Jahr 2014
- Größe H235mm x B155mm x T8mm
- Herausgeber Springer New York
- Anzahl Seiten 132
- Lesemotiv Verstehen
- Auflage 2011
- GTIN 09781489997593