Compressed Cooperative Eigenvalue Spectrum Sensing for Radio Signal

doi:10.16182/j.issn1004731x.joss.201712017

Abstract

Abstract: Detecting the abnormal radio emission through radio monitoring is an important task of radio management. A regional cooperative compressed spectrum sensing model is proposed. A multi-node sensing system based on software defined radio platform is built, and the effectiveness of cooperative spectrum sensing is demonstrated. Results show that a high detection probability could be achieved at a suitable decision threshold based on the test statistics extracted from the eigenvalue of the received signal; what's more, compressed spectrum sensing employed to the detection system greatly reduced the size of the data transmitted from the sensing nodes to the fusing node. This work will be helpful for the development of large-scale grid radio monitoring network and the finer management of radio spectrum.

Key words: radio monitoring, interference detection, cooperative sensing, compressed spectrum sensing, simulation

CLC Number:

TN99

Yang Jingjing, Feng Yun, Chen Zhigang, Tang Hao, Huang Ming. Compressed Cooperative Eigenvalue Spectrum Sensing for Radio Signal[J]. Journal of System Simulation, 2017, 29(12): 3061-3066.

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