认知无线电中基于多窗口谱估计-奇异值分解的频谱空穴检测方法研究

摘要

A methord on the basis of MTM-SVD is proposed for reliable detection of spectrum holes in the cognitive radio technology. The method processes the correlation of the spatial signals received by sensors by using the fine characteristics of MTM (Multi-taper Mthod) spectrum estimation and SVD (Singular Value Decomposition) algorithm, picking up the primary user signal with higher correlation. Simulation results show that the method can significantly improve the detection performanace and mitigate the interference of the cognitive radio user with the primary user.%在认知无线电技术中,为了可靠的进行频谱空穴检测,提出了一种基于MTM-SVD的频谱空穴检测方法.该方法一方面利用了MTM谱估计的优良特性,一方面使用SVD算法对各传感器接收的空间信号实现了相关处理,并将共性成分提取出来.仿真结果表明,相比较于使用单个传感器进行检测,这种方法能够显著提高检测的性能,减小认知无线电用户对授权用户的干扰.