在传统双门限能量检测的基础上,对处于双门限之间的认知用户采用差分能量检测方法,提出了一种基于差分能量检测的双门限协作频谱感知(简称差分双门限能量检测)算法。该算法不仅考虑了噪声的不确定性对系统性能的影响,而且有效克服了传统双门限检测算法中的感知失败问题。仿真结果表明,差分双门限能量检测可以有效提高系统的频谱感知性能。另外仿真实验分析了判决系数和信道信噪比对系统性能的影响,结果显示,信噪比越高,判决系统对系数性能影响越显著,且在合理的取值范围内,系统性能随着判决系数取值的减小而提高。
A dual-threshold cooperative spectrum sensing algorithm based on differential energy detection (" differential dual-threshold energy detection" for short) is proposed, which applies a novel differential energy detection algorithm for the secondary users between the two thresholds of traditional dual-threshold energy detection algorithm. In the differential dual-threshold energy detection algorithm, the influence of the noise uncertainty on system performance is considered and the sensing failure problem in traditional dual-threshold detection is effectively overcome. Simulation resuhs show that the proposed algorithm can effectively improve the spectrum sensing per- formance. Besides, the impacts of the decision coefficient and the channel SNR on system performance are also analyzed in the simula- tion. The result shows that the SNR is higher, the impact of the decision coefficient is more significant. And within a reasonable range, as the decision coefficient decreases the system detection performance increases.