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dc.contributor.advisorTummala, Murali
dc.contributor.advisorMcEachen, John
dc.contributor.authorAdams, Agur S.
dc.dateDecember 2011
dc.date.accessioned2012-08-22T15:33:22Z
dc.date.available2012-08-22T15:33:22Z
dc.date.issued2011-12
dc.identifier.urihttp://hdl.handle.net/10945/10719
dc.description.abstractCognitive radio presents a unique challenge to source localization in that the radio has the ability to adapt to the environment, thus rendering current localization techniques ineffective due to a shifting combination of spatial, frequency, and temporal parameters. For any localization scheme to be effective, it must be able to adapt over time as a cognitive radio adapts to its surroundings. In this thesis an extended semi range-based localization scheme is proposed to accomplish this task. The proposed scheme estimates the position of a cognitive radio using the collaborative spectrum sensing results of a wireless radio frequency sensor network in a cognitive radio environment. The central idea behind the proposed scheme is to exploit the relationships between spatial, frequency, and temporal parameters of the environment to solve for the position of the cognitive radio. The proposed scheme is modeled in the MATLAB programming language, and its efficacy is demonstrated through simulation. It is shown that over time the proposed scheme is capable of estimating the frequency band of operation and the location of a cognitive radio, and is thus capable of accounting for both frequency and spatial mobility inherent in the cognitive radio environment.en_US
dc.format.extentxviii, 84 p. : ill. ; 28 cm.en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.subject.lcshWireless sensor networks.en_US
dc.titleSource localization in a cognitive radio environment consisting of frequency and spatial mobilityen_US
dc.contributor.secondreaderKragh, Frank.
dc.contributor.departmentElectrical and Computer Engineering.
dc.subject.authorCognitive Radioen_US
dc.subject.authorSource Localizationen_US
dc.subject.authorSemi Range-Based Localizationen_US
dc.subject.authorMobile Positioningen_US
dc.subject.authorWireless Sensor Networking;en_US
dc.description.serviceUS Marine Corps (USMC) authoren_US
etd.thesisdegree.nameM.S. in Electrical Engineering and Electrical Engineeren_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineering and Electrical Engineeren_US
etd.thesisdegree.grantorNaval Postgraduate School (U.S.)en_US


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