Accession Number : ADA138115
Title : Celestial Pattern Recognition Allowing Autonomous Earth-Surface or Deep-Space Positioning.
Descriptive Note : Master's thesis,
Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING
Personal Author(s) : Schempp,E P
PDF Url : ADA138115
Report Date : Dec 1983
Pagination or Media Count : 153
Abstract : This project explores the feasibility of using a small, general digital processor, with an optical sensor and a clock, as a means to autonomously determine location. A stellar pattern-recognition algorithm is presented that determines the identity of any of the navigation stars catalogued in the U.S. Naval Observatory 'Air Almanac' which may be in the sensor's field of view. Appendices describe an iterative method for determining position on the surface of the earth from celestial observations without using azimuth information, and a mechanism for determining relative position in deep space.
Descriptors : *Position finding, *Pattern recognition, Celestial navigation, Surface navigation, Space navigation, Stars, Optical detectors, Computer applications, Computer programs, Theses
Subject Categories : Space Navigation and Guidance
Distribution Statement : APPROVED FOR PUBLIC RELEASE