南京邮电大学学报（自然科学版）2012，Vol.32Issue(1)：34-39,6.
基于贝叶斯判决规则的异步合作频谱感知新算法
A Novel Asynchronous Cooperative Spectrum Sensing Algorithm Based on Bayesian Data Fusion
摘要
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.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Key words
cognitive radio/ cooperative spectrum sensing/ fusion algorithm/ Bayesian decision rule分类
信息技术与安全科学引用本文复制引用
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):34-39,6.基金项目
国家高技术研究发展计划(863计划)(2009AA01Z241)、国家自然科学基金(61071092,61001077)、南京邮电大学科研基金(NY210035)资助项目 （863计划）
