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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

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.

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    Date Created
    • 2014
    Resource Type
  • Text
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    Note
    • Partial requirement for: M.S., Arizona State University, 2014
      Note type
      thesis
    • Includes bibliographical references (p. 34-37)
      Note type
      bibliography
    • Field of study: Electrical engineering

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    by Kaitlyn Beaudet

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