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Algorithms 2016, 9(2), 25; doi:10.3390/a9020025

Primary User Localization Algorithm Based on Compressive Sensing in Cognitive Radio Networks

College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
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Author to whom correspondence should be addressed.
Academic Editor: Bruno Carpentieri
Received: 22 January 2016 / Revised: 3 April 2016 / Accepted: 11 April 2016 / Published: 14 April 2016
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Abstract

In order to locate source signal more accurately in authorized frequency bands, a novel primary user localization algorithm based on compressive sensing (PU-CSL) in cognitive radio networks (CRNs) is proposed in this paper. In comparison to existing centroid locating algorithms, PU-CSL shows higher locating accuracy for integrally exploring correlation between source signal and secondary users (SUs). Energy detection is first adopted for collecting the energy fingerprint of source signal at each SU, then degree of correlation between source signal and SUs is reconstructed based on compressive sensing (CS), which determines weights of centroid coordinates. A weighted centroid scheme is finally utilized to estimate source position. Simulation results show that PU-CSL has smaller maximum error of positioning and root-mean-square error. Moreover, the proposed PU-CSL algorithm possess excellent location accuracy and strong anti-noise performance. View Full-Text
Keywords: cognitive radio networks; network security; localization; compressive sensing; energy fingerprint cognitive radio networks; network security; localization; compressive sensing; energy fingerprint
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ye, F.; Zhang, X.; Li, Y.; Huang, H. Primary User Localization Algorithm Based on Compressive Sensing in Cognitive Radio Networks. Algorithms 2016, 9, 25.

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