在频谱资源日渐紧缺的背景下,认知无线电技术成为无线通信领域新的研究热点,而频谱感知是认知无线电研究的重要内容.为了提高感知结果可靠性并且对抗隐藏节点问题,协作频谱感知被提出,但传统的协作感知策略往往需要大量感知节点的参与,从而消耗了较多的资源.为此,我们从节约资源的角度出发,提出了一种迭代式协作感知方法,该方法可以在感知精度满足一定要求的同时,最小化参与感知的节点数目,从而降低系统的资源消耗.仿真结果表明,本方法能够有效地保证检测概率和虚警概率的目标,同时使得参与感知的节点数目和系统的资源消耗最小化.%Cognitive radio is a promising technology for its ability to overcome the insufficiency of available spectrums, and spectrum sensing is an important issue in cognitive radio research. Due to its ability to increase the reliability of sensing results and imitate hidden node problems, sensor cooperation in spectrum sensing has gained much attention. However, conventional cooperative method is usually resource inefficient for involving too many sensors. A novel iterative cooperative sensing method is proposed, which minimizes the quantity of cooperating sensors and resource consumption while satisfying the constraint of a given sensing accuracy. The simulation results show that our method can guarantee the target probability of detection and probability of false alarm and minimize the number of the sensors involved and resource consumed.
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