Cooperative spectrum sensing method based on covariance matrix eigenvalue
The invention relates to a cooperative spectrum sensing method based on covariance matrix eigenvalues, and discloses a cooperative spectrum sensing method based on maximum and minimum eigenvalues and geometric mean eigenvalues in the technical field of spectrum sensing of the Internet of Things. The...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention relates to a cooperative spectrum sensing method based on covariance matrix eigenvalues, and discloses a cooperative spectrum sensing method based on maximum and minimum eigenvalues and geometric mean eigenvalues in the technical field of spectrum sensing of the Internet of Things. The method comprises the following steps: performing energy spectrum sensing according to a sampling signal received by a cognitive user, and calculating a covariance matrix; eigenvalues are obtained through eigenvalue decomposition of the covariance matrix; calculating a power fusion parameter according to an energy spectrum sensing result of the cognitive user, selecting a maximum characteristic value and a minimum characteristic value, and calculating a geometric and arithmetic average characteristic value; using the characteristic values and the fusion power parameters to construct test statistics; calculating a judgment threshold; and finally, judging whether a main signal exists in the current sensing spectrum o |
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