基于压缩感知的协作频谱感知联合恢复
ompressive Sensing Based Cooperative Recovery in Cooperative Spectrum Sensing
在传统的协作频谱感知中，每个认知节点感知所有的信道，然后把感知结果发送给融合中心进行数据融合。当信道数量很大时，每个认知节点的感知负担和融合中心的计算负载都很大。本文提出了一种基于压缩感知的协作频谱感知。仿真结果显示，这种方法减轻了融合中心的工作负担，降低了对测量矩阵的要求。
In traditional cooperative spectrum sensing, every cognitive radio senses all the channels, then sends the sensing result to fusion center to make a data fusion. When the number of channel is very large, the burden of sensing at cognitive radio and calculation at fusion center is heavy. In this paper, a cooperative spectrum sensing based on compressive sensing is proposed . The simulation results shows that this method alleviate the burden of fusion center and reduce the request of measurement matrix.
朱新星、温志刚
无线通信通信电子对抗
协作频谱感知压缩感知联合恢复
cooperative spectrum sensingcompressive sensingcooperative recovery
朱新星,温志刚.基于压缩感知的协作频谱感知联合恢复[EB/OL].(2012-12-21)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201212-629.点此复制
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