Multi-antenna cooperative spectrum sensing method based on information geometry and differential evolution clustering algorithm

Abstract

The invention discloses a multi-antenna cooperative spectrum sensing method based on information geometry and a differential evolution clustering algorithm. The multi-antenna cooperative spectrum sensing method comprises the following steps: dividing a received signal Xj into two clusters according to a clustering mode, i.e., respectively carrying out the principal component analysis of the sum, and correspondingly obtaining and constructing covariance matrixes R1 and R2 corresponding to the sum and the construction; extracting signal features according to information geometry; in an noise environment, performing clustering processing and principal component analysis processing on the P noise signal matrixes to obtain a sum, calculating a corresponding Riemann mean value, and mapping the covariance matrixes R1 and R2 obtained in the step S2 to a statistical manifold; and taking the Riemannian mean value sum as a reference point, and analyzing the distances d1 and d2 between the pointsto obtain a signal feature T. According to the technical scheme, a threshold does not need to be calculated, and whether the main user exists or not is judged through the differential evolution clustering algorithm, and higher judgment precision is achieved.

Description

technical field [0001] The present invention relates to the field of cognitive radio technology, and more specifically, to a multi-antenna cooperative spectrum sensing method based on information geometry and differential evolution clustering algorithm. Background technique [0002] In recent years, the number of various wireless devices and smart mobile terminals has increased rapidly, people's demand for wireless spectrum is increasing, and the scale of wireless communication networks has continued to expand, which undoubtedly makes spectrum resources increasingly tight. Cognitive radio technology aims to alleviate the current problem of spectrum scarcity. The main idea of ​​cognitive radio technology is to enable radio communication devices to discover free spectrum and make reasonable use of spectrum resources. Spectrum sensing technology is not only one of the important technologies of cognitive radio, but also the basis of other applications such as spectrum sharing a...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the spectrum sensing algorithm of the random matrix theory will cause partial information loss when calculating the eigenvalues ​​of the covariance matrix, and at the same time, the threshold derivation of the traditional spectrum sensing is complex and inaccurate, a method based on information geometry and differential evolution is provided. The multi-antenna cooperative spectrum sensing method based on the clustering algorithm does not need to calculate the threshold, and at the same time analyzes the spectrum sensing problem from the perspective of information geometry, retains the information of the original matrix to the greatest extent, and helps to improve the sensing performance

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