文献类型：期刊文献

中文题名：基于DOA估计的认知无线网络频谱感知

英文题名：Spectrum Sensing Based on DOA Estimation in Cognitive Radio Networks

作者：任肖丽[1];高飞飞[2];王骥[1];刘双印[1]

机构：[1]广东海洋大学信息学院,广东湛江524088;[2]清华大学自动化系,北京100084

年份：2016

卷号：56

期号：4

起止页码：353

中文期刊名：电讯技术

外文期刊名：Telecommunication Engineering

收录：CSTPCD、、北大核心2014、北大核心

基金：国家自然科学基金资助项目(61471133);广东省自然科学基金资助项目(2015AC0313617);广东省科技计划项目(2013B090500127;2013B021600014;2015A070709015;2015A020209171);广东海洋大学创新强校工程项目(GDOU2013050232;GDOU2014050228)~~

语种：中文

中文关键词：认知无线电网络;频谱感知;波达方向估计;感知模型

外文关键词：cognitive radio networks;spectrum sensing;direction of arrival estimation;sensing model

中文摘要：认知无线电技术中频谱感知性能的优劣直接影响认知通信系统的性能。针对该特点提出了认知无线电网络中基于波达方向(DOA)估计的主用户频谱感知模型,即单主用户多次用户和多主用户多次用户的系统模型,选取基于特征分解的多重信号分类(MUSIC)算法分析两种模型的感知性能,包括虚警概率、漏检概率、最小总错误概率、算法复杂度等,获得了闭值表达式,最后在两种模型下对算法进行了仿真。仿真结果表明:各参数主要影响虚警概率,而漏检概率几乎不受影响,验证了方法的有效性。

外文摘要：In cognitive radio technology,the performance of spectrum sensing directly affects the performance of cognitive communication system. According to this feature,a spectrum sensing model of primary user（PU）based on direction of arrival（DOA）estimation in the cognitive radio networks is proposed,that is,the system model of multiple primary users（PUs）multiple secondary users（SUs）and single primary usermultiple secondary users. Then,the sensing performance of the two sensing models based on the MultipleSignal Classification（MUSIC）algorithm is analyzed,including false alarm probability,miss detection probability,the minimum total false probability,sensing complexity,and the expression of the closed-form solution is obtained. Finally,algorithm simulations are carried out under various sensing models. The simulation results show that the parameters mainly affect the false alarm probability,but the miss detection probability is almost unaffected. The effectiveness of this method is verified.