文章基本信息

标题：Cooperative Spectrum Sensing Using Eigenvalue Fusion for OFDMA and Other Wideband Signals
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作者：Dayan A. Guimarães ; Carlos R. N. da Silva ; Rausley A. A. de Souza 等
期刊名称：Journal of Sensor and Actuator Networks
电子版ISSN：2224-2708
出版年度：2013
卷号：2
期号：1
页码：1-24
DOI：10.3390/jsan2010001
语种：English
出版社：MDPI Publishing
摘要：In this paper, we propose a new approach for the detection of OFDMA and other wideband signals in the context of centralized cooperative spectrum sensing for cognitive radio (CR) applications. The approach is based on the eigenvalues of the received signal covariance matrix whose samples are in the frequency domain. Soft combining of the eigenvalues at the fusion center is the main novelty. This combining strategy is applied to variants of four test statistics for binary hypothesis test, namely: the eigenvalue-based generalized likelihood ratio test (GLRT), the maximum-minimum eigenvalue detection (MMED), the maximum eigenvalue detection (MED) and the energy detection (ED). It is shown that the eigenvalue fusion can outperform schemes based on decision fusion and sample fusion. A tradeoff is also established between complexity and volume of data sent to the fusion center in all combining strategies.
关键词：cognitive radio; eigenvalue fusion; eigenvalue spectrum sensing; wideband spectrum sensing; GLRT; MMED; MED; ED; OFDMA