High-resolution robot tracking and direction finding for space station environment.
Item
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Title
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High-resolution robot tracking and direction finding for space station environment.
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Identifier
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AAI9315502
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identifier
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9315502
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Creator
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Shahrabi, Kamal.
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Contributor
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Adviser: Donald L. Schilling
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Date
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1993
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Language
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English
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Publisher
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City University of New York.
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Subject
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Engineering, Electronics and Electrical | Engineering, General | Mathematics | Engineering, Aerospace
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Abstract
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In the past few years the problem of location finding and tracking of an extra-vehicular robots in Space Station environment, and the related problem of estimating the parameters of signals in noise have attracted considerable interest. Conventional direction finding, tracking and locating techniques such as Maximum Likelihood (ML), MUltiple Signal Characterization (MUSIC),..... etc. are proving inadequate to support the full and effective utilization of robotics in a Space Station environment.;The scope of this work is to provide a new and more efficient signal processing technique for a Space Station robotic tracking system which overcomes existing technical limitations such as radio transmission multipath, station reflections, the number of robots, Space Station environment, stringent resolution requirements and Space Station architecture. In general, this work contains block level design and study of a communication system for a Space Station involving spread spectrum and digital processing of signal techniques that achieves as Space Station robotic tracking implementation. This report contains an extensive analysis of the system performance from the following points of view: (1) Utilization of a chirp signal, which in conjunction with a polling procedure, allows for individual robot identification, location and tracking. (2) Estimate the number of antennae. (3) Determine the location of the antennae on the Space Station. (4) Generate a detailed block diagram design. (5) Perform an overall system analysis that considers the effects of signal multipath.
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Type
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dissertation
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Source
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PQT Legacy CUNY.xlsx
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degree
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Ph.D.
