基于信噪比权值的累量循环平稳检测协作感知

累量循环平稳检测算法可以克服传统能量检测算法对噪声估计误差的敏感性，协作感知可以克服单用户检测中的阴影效应等问题，不同的判决融合方法对协作感知系统的性能有较大影响。提出在协作频谱感知中采用累量循环平稳算法，并利用Chair-Varshney准则进行判决融合。仿真实验表明，与硬判决融合方法相比，该方案可以在不增加融合中心数据量的情况下有效地调高系统的频谱检测性能，性能的提高程度与协作用户的信噪比分布情况有关。

Collaborative spectrum sensing based on SNR weighted and cumulates cyclostationarity

Cumulative based cyclostationary spectrum sensing isn＇t sensitive to noise estimation error as traditional energy detection method is. Collaborative spectrum sensing can decrease the interference of shadowing effect happened in single user detection. Different decision combining method greatly effects the performance of collaborative spectrum sensing. In this paper, cumulative based cyclostationary spectrum sensing together with Chair-Varshney decision combining method is proposed. Computer simulation suggests the scheme effectively improves the detection performance without increasing the amount of data transmission in data fusion center. The degree of the improvement is related to the SNR distribution of the cooperative secondary users.