| 基于改进D-S证据理论的认知无线电频谱感知算法 |
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| 引用本文： | 王苗苗,李世银,肖淑艳,孙科建,崔 磊. 基于改进D-S证据理论的认知无线电频谱感知算法[J]. 国际商务研究, 2012, 52(8) |
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| 作者姓名： | 王苗苗 李世银 肖淑艳 孙科建 崔 磊 |
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| 作者单位： | 中国矿业大学 信息与电气工程学院，江苏 徐州 221116;中国矿业大学 信息与电气工程学院，江苏 徐州 221116;中国矿业大学 信息与电气工程学院，江苏 徐州 221116;中国矿业大学 信息与电气工程学院，江苏 徐州 221116;中国矿业大学 信息与电气工程学院，江苏 徐州 221116 |
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| 基金项目： | 江苏省产学研联合创新资金项目（BY2009114）；徐州市科技计划项目（XX10A001） |
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| 摘 要： | 在把D S证据理论应用于多节点的频谱感知数据融合时，如果数据冲突较大则融合结果并不理想。为了解决上述问题，对D S证据理论的证据组合规则进行了改进，给出了一个在数据冲突大时也适用的数据融合公式,并把这种改进的数据融合算法应用到多节点协作频谱感知中。MATLAB仿真测试与结果分析表明改进算法提高了频谱感知性能。
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| 关 键 词： | 认知无线电；频谱感知；改进D S证据理论；数据融合 |
Cognitive radio spectrum sensing algorithm based on improved D-S evidence theory |
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| WANG Miao-miao,LI Shi-yin,XIAO Shu-yan,SUN Ke-jian and CUI Lei. Cognitive radio spectrum sensing algorithm based on improved D-S evidence theory[J]. International Business Research, 2012, 52(8) |
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| Authors: | WANG Miao-miao LI Shi-yin XIAO Shu-yan SUN Ke-jian CUI Lei |
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| Affiliation: | School of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou 221116,China;School of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou 221116,China;School of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou 221116,China;School of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou 221116,China;School of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou 221116,China |
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| Abstract: | When the data fusion algorithm based on D S evidence theory is used in the integration of data collected by multiple nodes, the fusion effect of the D S evidence theory is not good if the data is conflict seriously. In order to solve the problem,the evidence combination rule of D S evidence theory is improved and a new data fusion formula which is also applicable when the data is conflict seriously is provided.The improved algorithm is applied to the cooperation of spectrum sensing algorithm.MATLAB simulation and analysis demonstrate the spectrum sensing performance is improved by using the proposed algorithm. |
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