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A Diffusion-Based Distributed Collaborative Energy Detection Algorithm for Spectrum Sensing in Cognitive Radio

机译:一种基于扩散的分布式协作能量检测算法,用于认知无线电频谱感应

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摘要

Spectrum sensing is one of the most important steps in cognitive radio. In this paper, a new fully-distributed collaborative energy detection algorithm based on diffusion cooperation scheme and consensus filtering theory is proposed, which doesn't need the center node to fuse the detection results of all users. The secondary users only exchange information with their neighbors to obtain the detection data, and then make the corresponding decisions independently according to the pre-defined threshold. Simulations show that the proposed algorithm is more superior to the existing centralized collaborative energy detection algorithm in terms of the detecting performance and robustness in the insecurity situation.
机译:光谱感测是认知无线电中最重要的步骤之一。在本文中,提出了一种基于扩散合作方案的新的全分布式协作能量检测算法和共识滤波理论,这不需要中心节点来融合所有用户的检测结果。辅助用户仅与其邻居交换信息以获得检测数据,然后根据预定义的阈值独立地进行相应的决策。模拟表明,在不安全情况下检测性能和鲁棒性方面,所提出的算法更优于现有的集中协同能量检测算法。

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