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Research on Cognitive Radio Spectrum Sensing Method Based on Information Geometry

机译：基于信息几何的认知无线电频谱感知方法研究

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Making using of the emerging information geometry theory, we analyze the statistical properties of wireless spectrum signals received by secondary users, and propose a cognitive radio spectrum sensing method based on information geometry. We introduce a new detection structure, using the sample covariance matrix and corresponding to the points on the statistical manifold, by calculating the distance between them and make a decision, thus transforming the statistical detection problem into the geometric problem on the manifold. We also used two solutions: Constant False Alarm Rate (CFAR) Detector and Distance Detector (DD). The simulation results reveal that the performance of the information geometry method is superior to the traditional spectrum sensing algorithm, and research results will help us to explore the spectrum sensing problem from a new perspective.
机译：利用新兴的信息几何学理论，分析了二级用户接收到的无线频谱信号的统计特性，提出了一种基于信息几何学的认知无线电频谱感知方法。通过使用样本协方差矩阵并与统计流形上的点相对应，我们引入了一种新的检测结构，通过计算它们之间的距离并做出决策，从而将统计检测问题转化为流形上的几何问题。我们还使用了两种解决方案：恒定误报率（CFAR）检测器和距离检测器（DD）。仿真结果表明，信息几何方法的性能优于传统的频谱感知算法，研究结果将有助于我们从一个新的角度探索频谱感知问题。

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