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基于贝叶斯判决规则的异步合作频谱感知新算法
引用本文:曹开田,杨震. 基于贝叶斯判决规则的异步合作频谱感知新算法[J]. 南京邮电大学学报(自然科学版), 2012, 32(1): 34-39
作者姓名:曹开田  杨震
作者单位:南京邮电大学信号处理与传输研究院,江苏南京210003;南京邮电大学宽带无线通信与传感网技术教育部重点实验室,江苏南京210003
基金项目:国家高技术研究发展计划(863计划),国家自然科学基金,南京邮电大学科研基金
摘    要:依据认知无线电中授权频谱占用情况的On-Off模型,提出了一种新型的合作频谱感知算法。该算法将次用户在不同时刻的软判决结果传输给数据融合中心,在考虑到不同认知节点具有不同信噪比的情况下,将On-Off模型求得的贝叶斯融合似然比作为感知权重对各认知用户的感知结果进行数据融合。理论分析与仿真结果表明,相比传统的同步合作感知算法,该算法具有合理性更强、可靠性更高、检测性能更优以及代价更少等优点。

关 键 词:认知无线电  合作频谱感知  融合算法  贝叶斯判决准则

A Novel Asynchronous Cooperative Spectrum Sensing Algorithm Based on Bayesian Data Fusion
CAO Kai-tian , YANG Zhen. A Novel Asynchronous Cooperative Spectrum Sensing Algorithm Based on Bayesian Data Fusion[J]. JJournal of Nanjing University of Posts and Telecommunications, 2012, 32(1): 34-39
Authors:CAO Kai-tian    YANG Zhen
Affiliation:1,2( 1.Institute of Signal Processing and Transmission,Nanjing University of Posts and Telecommunications,Nanjing 210003,China 2.Key Lab of Broadband Wireless Communication and Sensor Network Technology,Nanjing University of Posts and Telecommunications, Nanjing 210003,China)
Abstract:A novel asynchronous cooperative spectrum sensing(ACSS) algorithm is proposed based on the on-off model of licensed band occupancy in cognitive radios.In ACSS,the soft decision results from secondary users(SU) in different instants are transmitted to the data fusion center.Considering the fact that different cognition node has different SNR,the sensing results by each cognition node are processed with data fusion using the likelihood ratio of Bayesian convergence from the on-off model as the sensing weight.The theoretical analysis and simulation results have shown that,compared with the traditional synchronous cooperative sensing(SCSS) algorithms,the proposed algorithm is more reasonable,more reliable,and with better detection performance and lower cost.
Keywords:cognitive radio  cooperative spectrum sensing  fusion algorithm  Bayesian decision rule
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