NDLI: Source localization in a cognitive radio environment consisting of frequency and spatial mobility

Content Provider	IEEE Xplore Digital Library
Author	Adams, A. Tummala, M. McEachen, J.
Copyright Year	2012
Description	Author affiliation: Department of Electrical and Computer Engineering, Naval Postgraduate School, Monterey, United States of America (Tummala, M.; McEachen, J.) \|\| Department of Electrical and Computer Engineering, United States Naval Academy, Annapolis, United States of America (Adams, A.)
Abstract	Cognitive radio (CR) 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 CR adapts to its surroundings. In this paper an extended semi range-based localization (ESRB) scheme is proposed to accomplish this task. The proposed scheme estimates the position of a CR using the collaborative spectrum sensing results of a wireless radio frequency sensor network (WSN) in a CR 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 CR. 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 CR, and is thus capable of accounting for both frequency and spatial mobility inherent in the CR environment.
Starting Page	1
Ending Page	6
File Size	594528
Page Count	6
File Format	PDF
ISBN	9781467312387
e-ISBN	9781467312394
e-ISBN	9781467312370
DOI	10.1109/WoWMoM.2012.6263764
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Cognitive Radio Channel estimation Mobile Positioning White spaces Source Localization Time frequency analysis Delta modulation Semi Range-Based Localization Sensors Cognitive radio Wireless Sensor Networking
Content Type	Text
Resource Type	Article

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