Abstract
To solve the problem that the threshold is difficult to calculate in the spectrum sensing method of random matrix, this paper proposes a spectrum sensing method based on the combination of clustering algorithm and signal features. At the same time, in order to improve the performance of feature estimation and the detection performance under the condition of small number of cooperative users, a concept based on stochastic matrix splitting and reorganization is introduced to logically increase the number of cooperative users. In order to further obtain the information from the signal matrix and improve the feature accuracy, the signal perceived by each secondary user (SU) is decomposed into I and Q (IQ) components. Firstly, the signal matrix is split and reassembled and IQ decomposed. Then the covariance matrices of split matrix and matrix after IQ decomposition are calculated respectively and the corresponding eigenvalues are obtained. Then, the features are formed into a feature vector. Finally, the algorithm classifies these feature vector. The simulation experiments under different signal characteristics and different clustering algorithms show that the proposed method can effectively improve the performance of spectrum sensing.
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Acknowledgments
This work was supported in part by special funds from the central finance to support the development of local universities under No. 400170044, the project supported by the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences under grant No. 20180106, the science and technology program of Guangdong Province under grant No. 2016B090918031, the degree and graduate education reform project of Guangdong Province under grant No. 2016JGXM_MS_26, the foundation of key laboratory of machine intelligence and advanced computing of the Ministry of Education under grant No. MSC-201706A and the higher education quality projects of Guangdong Province and Guangdong University of Technology.
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Zhang, S., Wang, Y., Wan, P., Zhang, Y., Li, X. (2018). A Cooperative Spectrum Sensing Method Based on Clustering Algorithm and Signal Feature. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11063. Springer, Cham. https://doi.org/10.1007/978-3-030-00006-6_5
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DOI: https://doi.org/10.1007/978-3-030-00006-6_5
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