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一种基于信任度的频谱感知数据融合算法 被引量:4

A data fusion algorithm based on credibility in spectrum sensing
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摘要 为了在有恶意节点的情况下提高频谱的检测概率,并用更少的样本数来达到判决门限,提出一种基于正确判断能力的改进加权序贯频谱检测算法。该方法通过节点的正确判断能力对各个节点的似然比加权一个更优的系数,能够识别恶意节点并且利用恶意节点发送的数据。仿真结果表明,新算法能够在较少样本数的情况下获取较高的检测概率。 In order to improve the detection probability and to achieve the decision threshold with fewer samples while there are malicious nodes, a modified weighted sequential probability ratio test based on the nodes ability of correct decision is proposed, with which, a better weighted coefficient based on ability of correct decision can be optimized, thus, the malicious nodes can be found and the date transmitted by them can be practiced upon. Simulation results show that, with fewer samples, the proposed method obtains a higher detection probability than the original algorithm.
作者 吴征 赵君喜
出处 《西安邮电学院学报》 2011年第5期26-30,共5页 Journal of Xi'an Institute of Posts and Telecommunications
关键词 加权序贯检测 信任度 恶意节点 weighted sequential probability ratio test (WSPRT) credibility malicious nodes
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