基于压缩感知的协同频谱感知

Yongkui Ma, Jiaxin Liu, Yulong Gao
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引用次数: 6

摘要

本文将压缩感知应用于协同频谱感知中,以减少融合数据的数量。作为对OR融合的改进,DOR融合作为一种合并方法来处理来自不同认知用户的信息。然后分析了检测性能与用户数之间的关系。最后进行了仿真,仿真结果和理论分析表明,DOR融合方法与常用的OR融合方法相比,不仅提高了检测概率,而且显著降低了虚警概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative spectrum sensing based on the compressed sensing
In this paper, compressed sensing is applied to cooperative spectrum sensing to reduce the number of fused data. As the modification of OR fusion, DOR fusion is proposed as merger method to deal with information from different cognitive users. And then we analyze the relationship of detection performance and the number of users. Finally, some simulations are implemented, Simulation result and theoretical analysis illustrated that DOR fusion method improves not only probability of detection but also reduce the probability of false alarm significantly compared to the commonly used OR fusion.
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