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认知无线电传感器网络中的分布式压缩宽带感知

Distributed Compressed Wideband Sensing in Cognitive Radio Sensor Networks

Huazi Zhang, Zhaoyang Zhang, Yuen Chau

摘要:

提出了一种新的认知无线电传感器网络(CRSN)分布式压缩宽带感知方案。该方案利用CRSN的分布式特性,在每个节点上仅部署一个超低采样率的窄带采样器,即可完成宽带频谱感知。首先,详细描述了各节点处压缩采样器的实际结构。其次,我们展示了融合中心(FC)如何利用频谱随机混叠的采样信号来检测全球宽带频谱活动。最后,通过大量的仿真验证了所提出的方案,这表明它是特别适合CRSN。

英文摘要:

A novel distributed compressed wideband sensing scheme for Cognitive Radio Sensor Networks (CRSN) is proposed in this paper. Taking advantage of the distributive nature of CRSN, the proposed scheme deploys only one single narrowband sampler with ultra-low sampling rate at each nodes to accomplish the wideband spectrum sensing. First, the practical structure of the compressed sampler at each node is described in detail. Second, we show how the Fusion Center (FC) exploits the sampled signals with their spectrum randomly-aliased to detect the global wideband spectrum activity. Finally, the proposed scheme is validated through extensive simulations, which shows that it is particularly suitable for CRSN.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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