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现有的基于决策融合的协作频谱感知方案大多数都是以理想的通用控制信道为前提,没有考虑实际决策传输中也存在衰落及噪声干扰,对此,将感知信道和控制信道建模为Suzuki信道,提出一种基于最小错误概率决策估计和K/N决策融合的协作频谱感知方案.数值分析和仿真结果表明,非理想决策传输条件下的协作感知性能较理想条件下有一定恶化,在控制信道信噪比较低的情况下,其性能甚至不如本地感知.在此基础上,研究了阴影衰落的空间相关性对协作感知性能的影响.仿真结果显示,随着次用户之间距离的增大,阴影相关性的不利影响将逐渐减小.
Most existing cooperative spectrum sensing schemes based on decision fusion take the ideal common control channel as premise, and do not consider the fading and noise interference in the actual decision transmission. For this purpose, the perceptual channel and control channel are modeled as the Suzuki Channel, a cooperative spectrum sensing scheme based on minimum error probability decision estimation and K / N decision fusion is proposed.Numerical analysis and simulation results show that the performance of cooperative sensing under non-ideal decision transmission conditions is worse than that under ideal conditions, The performance of the channel is not as good as that of the local one when the signal-to-noise ratio of the channel is low, on the basis of which, the influence of the spatial correlation of the shadow fading on the cooperative perceptual performance is studied.The simulation results show that as the distance between secondary users increases The adverse effect of large and shadow correlation will gradually decrease.