基于DOA估计的认知无线网络频谱感知

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。

Spectrum sensing based on DOA estimation in cognitive radio networks

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 user multiple secondary users. Then,the sensing performance of the two sensing models based on the Multiple Signal 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.