Abstract
Spectrum sensing over a broad frequency band plays an important role in cognitive radio, but it also leads to high sampling rate when the bandwidth is large. The recently proposed coprime sampling scheme has been recognized as an attractive mechanism because it allows to significantly reduce the sampling rate. However in some cases, classical high resolution spectrum estimation methods fail when coprime sampling data are used. This situation has never been considered in the open literature under the framework of practical coprime sampling. In this paper, firstly, the conditions of this phenomenon are specified. Then, a new coprime sampling scheme based on embedded random delays is proposed to prevent this phenomenon. Simulation results show the effectiveness of the proposed coprime sampling scheme.
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