Star Identification - Methods, Techniques and Algorithms

This book summarizes the research advances in star identification that the author's team has made over the past 10 years, systematically introducing the principles of star identification, general methods, key techniques and practicable algorithms. It also offers examples of hardware implementation and performance evaluation for the star identification algorithms. Star identification is the key step for celestial navigation and greatly improves the performance of star sensors, and as such the book include the fundamentals of star sensors and celestial navigation, the processing of the star catalog and star images, star identification using modified triangle algorithms, star identification using star patterns and using neural networks, rapid star tracking using star matching between adjacent frames, as well as implementation hardware and using performance tests for star identification. It is not only valuable as a reference book for star sensor designers and researchers working in p attern recognition and other related research fields, but also as teaching resource for senior postgraduate and graduate students majoring in information processing, computer science, artificial intelligence, aeronautics and astronautics, automation and instrumentation. Dr. Guangjun Zhang is a professor at the School of Instrumentation Science and Opto-electronics Engineering, Beihang University, China and also the Vice President of Beihang University, China

Inhaltsverzeichnis:

Introduction.-Fundamental Knowledge of Astronomy.- Introduction of Celestial Navigation.- Introduction of Star Sensor.- Introduction of star identification.- Current star identification algorithms and the development trends.- Content introduction of the chapters.- References.- Processing of Star Catalog and Star Image.- Star catalog partition.- Guide star selecting and double star processing.- Star image simulation.- Star spot centroiding.- Calibration of centroiding error.- References.- Star Identification using Modified Triangle Algorithm.- Current triangle algorithms.- Modified triangle algorithm using angular distance matching.- Modified triangle algorithm using P vector.- References.- Star Identification using Star Patterns.- Introduction of grid algorithm.- Star identification using radial and cyclic star patterns.- Star identification using Log-Polar transform.- Star identification without calibration parameters.- References.- Star Identification using Neural Networks.- Int roduction of neural networks.- Neural networks based star identification using features of star vector matrix.- Neural networks based star identification using mixed features.- References.- Rapid Star Tracking using Star Matching between Adjacent Frames.- Star tracking mode of star sensor.- Rapid star tracking algorithm using star matching between adjacent frames.- Simulations and results analysis.- References.- Hardware Implement and Performance Test of Star Identification.- Implement of star identification on RISC CPU.- Hardware-in-loop simulation test of star identification.- Field experiment of star identification.- References.