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The maximum estimable number of sources of the traditional algorithms of Two Dimensional Direction-of-Arrival (2D-DOA) estimation have large amount of calculations, and the maximum estimable number of sources is strictly limited by the number of array elements. In this paper, with the co-prime L-shaped array, a sparse reconstruction method using the Khatri-Rao (KR) product is proposed. The 2D-DOA...
Spectrum sensing is one of the most significant problems in cognitive radio (CR). In this paper, a robust detection scheme is proposed based on the eigenvalues of the covariance matrix computed from the received signals by secondary users. The combination of the maximum eigenvalue and minimum eigenvalue of the sample covariance matrix is used as the statistic to detect the primary signal. For a target...
Spectrum sensing is one of the major elements of cognitive radio applications. A single secondary user (SU) usually cannot provide robust sensing capability due to channel effects. In order to overcome this problem, cooperative spectrum sensing techniques have been proposed. Because conventional cooperative spectrum sensing schemes assumed that all sensing nodes have the same sensing reliability,...
Spectrum sensing is the first key functionality to realize Cognitive Radios which also meet harsh performance demands under various severe conditions, e.g. the reliability and sensitivity demands under the low sensing overhead constraint. Cooperative sensing exploiting SPRT is an efficient sensing method which can significantly decrease sensing delay and sensing overhead, thereby, has been extensively...
Cognitive radios are efficient techniques to improve the utilization of the spectrum. Spectrum sensing is the key functionality to improve the spectrum efficiency and avoid harmful interference to the licensed users. By exploiting the spatial diversity of the different secondary users, cooperative sensing can achieve better sensing performance compared to the local sensing, thereby, receiving much...
Sensing of orthogonal frequency division multiplexing (OFDM) signals at low signal-to-noise ratio (SNR) is of great importance for cognitive radio (CR) communications due to the wide applications of OFDM in many existing and evolving broadband wireless communications. In-band pilots, multiplexed with the data-carrying subcarriers, provides one distinct feature of OFDM signals. The objective of this...
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