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Primary User Localization Algorithm Based on Compressive Sensing in Cognitive Radio Networks
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 atdoi:10.3390/a9020025 fatcat:vaprxg2efnb2bbsbc7eyu73jee