认知无线电中双阶段频谱检测算法研究  

Two-stage spectrum sensing scheme in cognitive radio network

作　　者：杜红[1] 富爽[1] 史国军[1] 李维民[1] 

机构地区：[1]黑龙江八一农垦大学信息技术学院,黑龙江大庆163319

出　　处：《电视技术》2016年第10期67-70,76,共5页Video Engineering

基　　金：黑龙江省教育厅科学技术研究项目(12541583)

摘　　要：在认知无线电网络中,为了实现更精确的检测,并避免对授权用户的干扰,一种双阶段频谱检测算法被提出。该算法由粗检测和细检测两种方式组成。粗检测阶段采用应用广泛的能量检测技术。由于能量检测技术的性能在衰落环境中容易受到影响,当粗检测阶段时感知结果判定为信道空闲,在细检测阶段将采用基于一阶周期平稳特征检测算法。对于这种双阶段频谱检测算法,推导分析了错误检测概率和吞吐量的性能指标。仿真结果表明,频谱检测性能显著优于常规的一阶段频谱检测算法。In order to achieve more precise sensing and avoid the interference to primary user in cognitive radio networks, a two- stage spectrum sensing approach is investigated. More specifically, a coarse spectrum sensing based on energy detection is intro- duced. Owing to worse sensing performance of energy detection in fading environment, if the decision is made to be idle by coarse sensing, a complementary fine spectrum sensing based on one-order cyclostationary feature detection is exploited. Moreover, the problem formulation and discussion of two-stage sensing is presented. Besides, the throughput of two-stage sensing is focused on. Numerical results show that the sensing performance is improved significantly as opposed to conventional spectrum sensing.

关 键 词：认知无线电 双阶段频谱检测 能量检测 一阶循环平稳特征检测 

分 类 号：TN929[电子电信—通信与信息系统]