| 基于贝叶斯准则的硬判决融合协同频谱感知最优化 |
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| 引用本文： | 井俊,徐友云,马文峰. 基于贝叶斯准则的硬判决融合协同频谱感知最优化[J]. 电路与系统学报, 2011, 16(1): 31-39 |
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| 作者姓名： | 井俊 徐友云 马文峰 |
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| 作者单位： | 解放军理工大学通信工程学院,江苏,南京,210007 |
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| 基金项目： | 国家"973"资助项目，国家"863"资助项目 |
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| 摘 要： | 将硬判决融合协同频谱感知描述为贝叶斯二元假设检验问题,本文考虑感知信息传输错误的可能性,以最小化半均判决风险(贝叶斯风险)为目标的最优本地判决和最优判决融合可分别归结为LRT(likelihood ratio test)问题,并证明基于能量检测的本地LRT与观测量的门限判决等价.当仅有本地判决结果可用时,融合中心通常假...
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| 关 键 词： | 认知无线网络 协同频谱感知 硬判决融合 贝叶斯最优化 |
Optimization for H-D information fused cooperative spectrum sensing based on Bayesian criterion |
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| JING Jun,XU You-yun,MA Wen-feng. Optimization for H-D information fused cooperative spectrum sensing based on Bayesian criterion[J]. Journal of Circuits and Systems, 2011, 16(1): 31-39 |
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| Authors: | JING Jun XU You-yun MA Wen-feng |
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| Affiliation: | JING Jun,XU You-yun,MA Wen-feng(Institute of Communications Engineering,PLA Univ.of Sci.and Tech.,Nanjing 210007,China) |
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| Abstract: | H-D(Hard-Decision) information fused cooperative spectrum sensing can be formulated as a Bayesian binary hypothesis testing problem.With the sensing information transmission error probability included in the optimization for minimizing overall average decision risk(Bayes risk),the optimal local decision rule and the optimal decision fusion rule can be expressed as LRT(likelihood ratio test) problems,respectively.When only local decisions are available to the fusion center,independent and identically distrib... |
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| Keywords: | cognitive radio networks cooperative spectrum sensing H-D information fusion Bayesian optimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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