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Estimation of Subspace Occupancy


Abstract The ability to identify unoccupied resources in the radio spectrum is a key capability for opportunistic users in a cognitive radio environment. This paper draws upon and extends geometrically based ideas in statistical signal processing to develop estimators for the rank and the occupied subspace in a multi-user environment from multiple temporal samples of the signal received at a single antenna. These estimators enable identification of resources, such as the orthogonal complement of the occupied subspace, that may be exploitable by an opportunistic user. This concept is supported by simulations showing the estimation of the number of users in a simple CDMA system using a maximum a posteriori (MAP) estimate for the rank. It was found tha... (more)
Created Date 2014
Contributor Beaudet, Kaitlyn (Author) / Cochran, Douglas (Advisor) / Turaga, Pavan (Committee member) / Berisha, Visar (Committee member) / Arizona State University (Publisher)
Subject Engineering / Cognitive Radio / MAP Estimation / MIMO Communications / Rank Estimation
Type Masters Thesis
Extent 41 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Electrical Engineering 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis