基于双门限能量及循环平稳的两层协作频谱感知

Two-layer Cooperative Spectrum Sensing Based on Double Threshold Energy and Cyclostationary Characteristics

双门限能量检测的优点是计算复杂度低然而也存在着在恶劣的无线电环境下检测性能较低的缺陷,循环平稳特征检测能够应对恶劣的无线电环境但是缺点是计算复杂。为了应对这样的情况,两层感知算法结合了双门限能量检测和循环平稳特征检测。仿真结果表明两层感知能够取两者之长使系统的检测能力得到了提高。加权融合的协作感知比与融合等融合方法有更好的性能。

The advantages of dual-threshold energy detection are low computational complexity,but there are also defects in low-detection performance in harsh radio environments.The cyclostationary feature detection can cope with the harsh radio environ⁃ment but the disadvantage is computational complexity.To cope with such a situation,the two-layer perceptual algorithm combines dual-threshold energy detection and cyclostationary feature detection.The simulation results show that the two layers of perception can take the length of the two to improve the detection ability of the system.The cooperative sensing of weighted fusion has better per⁃formance than the fusion method such as fusion.