期刊文献+

基于集中式协作频谱感知的数据融合技术研究 被引量:2

Research of data fusion technologies based on centralized cooperative spectrum sensing
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摘要 针对单节点频谱感知中存在的隐蔽终端和多径衰落问题,协作频谱感知应运而生。协作频谱感知有集中式和分布式之分。主要研究了集中式频谱感知中的数据融合技术,通过MATLAB进行建模仿真。仿真结果表明,集中式协作感知模型下软判决比硬判决更好地改善了检测性能,而软判决准则中C-V准则在高信噪比下检测性能最好,EGC准则在低信噪比下检测性能最好。 For the hidden terminal and multipath fading problems of single node spectrum sensing, collaborative spectrum sensing arises at the historic moment. Collaborative spectrum sensing can be centralized and distributed. This paper mainly studies the centralized spectrum sensing of data fusion technology. By modeling and simulating under MATLAB platform, results show that tile soft decision in centralized collaborative model improves the detection performance better than hard decision. While the C-V criterion of soft decision is the best under high SNR, EGC criterion is the best under low SNR.
出处 《微型机与应用》 2015年第12期54-56,60,共4页 Microcomputer & Its Applications
关键词 协作频谱感知 数据融合 集中式 MATLAB cooperative spectrum sensing data fusion centralized MATLAB
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参考文献5

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