CNN cooperative spectrum sensing method and system based on covariance matrix Cholesky decomposition

The invention relates to a CNN cooperative spectrum sensing method and system based on covariance matrix Cholesky decomposition, and the method comprises the following steps: S1, carrying out the preprocessing of an original signal, and obtaining a covariance matrix; s2, the covariance matrix obtain...

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Hauptverfasser: SHI HAODONG, QIU YU, WENG GEQI, JIANG BIN, ZENG RONG, BAO JIANRONG, LIU CHAO
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention relates to a CNN cooperative spectrum sensing method and system based on covariance matrix Cholesky decomposition, and the method comprises the following steps: S1, carrying out the preprocessing of an original signal, and obtaining a covariance matrix; s2, the covariance matrix obtained in the step S1 is used as an input parameter, calculation is executed according to a covariance matrix decomposition method, and each secondary user obtains a lower triangular matrix X of the secondary user; s3, taking the lower triangular matrix X obtained in the step S2 as an input parameter, executing calculation according to a statistical magnitude construction method, and obtaining statistical matrixes under different signal-to-noise ratios as training and testing data of the CNN; and S4, marking the statistical matrix obtained in the step S3, taking the marked statistical matrix as an input parameter, executing calculation according to a CNN spectrum sensing method, and inputting a test set into the traine