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To reduce the huge consumption of traditional sensing, a multi-centers estimation based sensing scheme is proposed in this paper. Firstly, all potential channels are clustered into highly related groups with some channels selected as detecting channels (DCs) using an unsupervised algorithm. In each group, the states of other channels (estimated channels, ECs) are estimated according to their correlations...
To utilize the valuable spectrum resources efficiently, cognitive radio is proposed, in which spectrum sensing plays an essential role. In this paper, we propose a novel spectrum sensing scheme to reduce the consumption of wide-band spectrum sensing. Firstly, all potential channels are clustered into highly correlated groups. In addition to the greedy clustering algorithm (GC) discussed in our previous...
Spectrum sensing is one of the most challenging tasks in cognitive radio. Unfortunately traditional schemes fail to balance between accuracy and complexity, which are the key indicators for the performance of spectrum sensing. In this paper, a new spectrum sensing scheme based on phase difference is proposed. Through analyzing the distributions of phase difference between adjacent samples of noise...
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