Matches in SemOpenAlex for { <https://semopenalex.org/work/W3082715731> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W3082715731 abstract "Spectrum sensing is a fundamental function for cognitive radio systems, which can improve spectrum utilization. In this article, a blind spectrum sensing method based on the sample covariance matrix and K-median clustering algorithm is proposed to further improve the sensing performance. Specifically, to obtain a two-dimensional signal feature vector, the received signal matrix is rebuilt into two sub-matrices by the decomposition and reorganization (DAR) method. Moreover, two statistical covariance matrices are constructed by the sub-matrices, respectively. The ratios between the sum of some elements from the sample covariance matrices and the sum of diagonal elements from those matrices are used as a signal feature vector. It is demonstrated that the new signal feature vector and the feature vector based on the improved covariance absolute value method are equivalent. Furthermore, K-median clustering algorithm is trained by signal feature vectors to obtain a classifier. Indeed, this classifier can directly be used to detect whether the PU signal is absent or not. Simulation results report that the proposed algorithm has better sensing performance than some popular sensing algorithms based on random matrix theory or information geometry." @default.
- W3082715731 created "2020-09-08" @default.
- W3082715731 creator A5037237386 @default.
- W3082715731 creator A5043598115 @default.
- W3082715731 creator A5049430606 @default.
- W3082715731 creator A5064842058 @default.
- W3082715731 creator A5080241813 @default.
- W3082715731 creator A5081595730 @default.
- W3082715731 date "2020-01-01" @default.
- W3082715731 modified "2023-09-27" @default.
- W3082715731 title "Blind Spectrum Sensing Based on the Statistical Covariance Matrix and K-Median Clustering Algorithm" @default.
- W3082715731 cites W1555846838 @default.
- W3082715731 cites W1896497382 @default.
- W3082715731 cites W1982711697 @default.
- W3082715731 cites W1984892991 @default.
- W3082715731 cites W2135439953 @default.
- W3082715731 cites W2511193440 @default.
- W3082715731 cites W2766522006 @default.
- W3082715731 cites W2922048928 @default.
- W3082715731 cites W2969921726 @default.
- W3082715731 cites W2982290754 @default.
- W3082715731 doi "https://doi.org/10.1007/978-3-030-57884-8_41" @default.
- W3082715731 hasPublicationYear "2020" @default.
- W3082715731 type Work @default.
- W3082715731 sameAs 3082715731 @default.
- W3082715731 citedByCount "1" @default.
- W3082715731 countsByYear W30827157312021 @default.
- W3082715731 crossrefType "book-chapter" @default.
- W3082715731 hasAuthorship W3082715731A5037237386 @default.
- W3082715731 hasAuthorship W3082715731A5043598115 @default.
- W3082715731 hasAuthorship W3082715731A5049430606 @default.
- W3082715731 hasAuthorship W3082715731A5064842058 @default.
- W3082715731 hasAuthorship W3082715731A5080241813 @default.
- W3082715731 hasAuthorship W3082715731A5081595730 @default.
- W3082715731 hasConcept C105795698 @default.
- W3082715731 hasConcept C11413529 @default.
- W3082715731 hasConcept C137250428 @default.
- W3082715731 hasConcept C138885662 @default.
- W3082715731 hasConcept C153180895 @default.
- W3082715731 hasConcept C154945302 @default.
- W3082715731 hasConcept C176917957 @default.
- W3082715731 hasConcept C178650346 @default.
- W3082715731 hasConcept C180877172 @default.
- W3082715731 hasConcept C181243257 @default.
- W3082715731 hasConcept C185142706 @default.
- W3082715731 hasConcept C185429906 @default.
- W3082715731 hasConcept C2776401178 @default.
- W3082715731 hasConcept C33923547 @default.
- W3082715731 hasConcept C41008148 @default.
- W3082715731 hasConcept C41895202 @default.
- W3082715731 hasConcept C73555534 @default.
- W3082715731 hasConcept C83665646 @default.
- W3082715731 hasConceptScore W3082715731C105795698 @default.
- W3082715731 hasConceptScore W3082715731C11413529 @default.
- W3082715731 hasConceptScore W3082715731C137250428 @default.
- W3082715731 hasConceptScore W3082715731C138885662 @default.
- W3082715731 hasConceptScore W3082715731C153180895 @default.
- W3082715731 hasConceptScore W3082715731C154945302 @default.
- W3082715731 hasConceptScore W3082715731C176917957 @default.
- W3082715731 hasConceptScore W3082715731C178650346 @default.
- W3082715731 hasConceptScore W3082715731C180877172 @default.
- W3082715731 hasConceptScore W3082715731C181243257 @default.
- W3082715731 hasConceptScore W3082715731C185142706 @default.
- W3082715731 hasConceptScore W3082715731C185429906 @default.
- W3082715731 hasConceptScore W3082715731C2776401178 @default.
- W3082715731 hasConceptScore W3082715731C33923547 @default.
- W3082715731 hasConceptScore W3082715731C41008148 @default.
- W3082715731 hasConceptScore W3082715731C41895202 @default.
- W3082715731 hasConceptScore W3082715731C73555534 @default.
- W3082715731 hasConceptScore W3082715731C83665646 @default.
- W3082715731 hasLocation W30827157311 @default.
- W3082715731 hasOpenAccess W3082715731 @default.
- W3082715731 hasPrimaryLocation W30827157311 @default.
- W3082715731 hasRelatedWork W10143644 @default.
- W3082715731 hasRelatedWork W12736225 @default.
- W3082715731 hasRelatedWork W12906885 @default.
- W3082715731 hasRelatedWork W1738682 @default.
- W3082715731 hasRelatedWork W5738750 @default.
- W3082715731 hasRelatedWork W6493570 @default.
- W3082715731 hasRelatedWork W7112028 @default.
- W3082715731 hasRelatedWork W7583127 @default.
- W3082715731 hasRelatedWork W768675 @default.
- W3082715731 hasRelatedWork W8813607 @default.
- W3082715731 isParatext "false" @default.
- W3082715731 isRetracted "false" @default.
- W3082715731 magId "3082715731" @default.
- W3082715731 workType "book-chapter" @default.