【摘要】 提出了一种低开销的协作压缩频谱感知方案,其中每个认知用户利用单比特量化获取压缩采样值的符号信息作为测量值.融合中心收到不同认知用户的符号信息后,利用2种联合感知算法来确定频谱的占用情况.仿真结果表明,新方案具有较好的感知性能,不仅优于独立感知方案,而且在低信噪比时优于多比特量化感知方案.更多还原

【Abstract】 A cooperative compressed spectrum sensing with low cost is proposed.Each cognitive user derives the measurements as the sign information of the compressed samples by using 1-bit quantization.After receiving the sign information from different cognitive users,the fusion center will utilize two joint sensing algorithms to determine the occupancy of the spectrum.Simulations show that the proposed scheme has a preferable performance,which is not only better than that of independent sensing,but also better than the sensing scheme based on multi-bit quantization at low signal-to-noise ratio.更多还原