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An efficient spectrum sensing scheme is proposed for detecting a primary signal corrupted by a Generalized Gaussian Noise (GGN). It is assumed that the power of the primary signal is much smaller than the noise power, and secondary users are equipped with multiple antenna receivers. The proposed scheme, referred to as sigmoid detector, uses a sigmoid soft limiter. The sigmoid limiter is characterized...
Cognitive radio (CR) is a promising approach to improve the efficiency use of the wireless spectrum. One key element of this technology is spectrum sensing, which allows secondary users to detect the presence of licensed (primary) users. To this end, multiantenna spectrum sensing techniques have been proposed to detect the presence of a primary user based solely on the correlation structure of the...
Spectrum sensing is a key ingredient of the dynamic spectrum access paradigm, but it needs powerful detectors operating at SNRs well below the decodability levels of primary signals. Noise uncertainty poses a significant challenge to the development of such schemes, requiring some degree of diversity (spatial, temporal, or in distribution) for identifiability of the noise level. Multiantenna detectors...
In this paper, we propose an approach of multi-antenna spectrum sensing based on cyclostationarity for cognitive radio. The key idea of the proposed method is to extend Dandawate's generalized likelihood ratio test to take into account the estimation of all cyclic cross-correlation as well as all cyclic autocorrelation obtainable in a multi-antenna system. The proposed method is able to take advantage...
In order to detect the presence of the primary user signal, spectrum sensing is a fundamental requirement to achieve the goal of cognitive radio (CR). This ensures the efficient utilization of the spectrum. Cyclostationary detection is the preferred technique to detect the primary users receiving data within the communication range of a CR user at very low SNR. In this work, we investigate the performance...
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