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作 者:倪水平[1] 常慧刚 N1 Shui-ping;CHANG Hui-gang(School of Computer Science and Technology,Henan Polytechnic University,Jiaozuo 454000,China)
机构地区:[1]河南理工大学计算机科学与技术学院,河南焦作454000
出 处:《测控技术》2018年第4期82-87,共6页Measurement & Control Technology
摘 要:认知无线电网络中,单用户频谱感知容易受到阴影效应、多径衰落及隐蔽终端等不利因素的影响,造成感知结果的误判。为了提高系统的检测性能,并减少感知花销,提出了多用户智能协作频谱感知算法。各个认知用户根据估计信噪比自适应选择不同的感知策略,当估计信噪比高于选择阈值时采用双门限能量感知,低于选择阈值时则采用循环平稳特征检测,并在同一个感知周期内只进行一种较优的感知策略,从而在不明显增加计算复杂度的情况下,克服了能量感知在低信噪比条件下鲁棒性差的缺点,实现了智能检测。仿真结果表明,智能协作频谱感知有效提高了系统检测概率,缩短了平均感知时间,有较好的鲁棒性。In cognitive radio networks,the single user spectrum sensing is susceptible to multipath fading and shadow efect,hidden terminal and other unfavorable factors,which causes the misjudgment of perceived re-sults.In order to improve the detection performance and reduce the perceived costs,the multi-user intelligent cooperative spectrum sensing algorithm was proposed.According to the estimation of signal-to-noise ratio(SNR),the cognitive users selected different sensing strategy adaptively,when the estimated SNR was higher than the selection thresliold using double thresliold energy detector,otlierwise using cyclostationar feature de-tector.Due to the fact that a beter perceptual strategy was only implemented in a sensing period,so the detec-tion accuracy was improved under the condition of low SNR with low complexity.The simulation results showed that the proposed cooperative spectrum sensing scheme could improve the system detection probability effec-tively,siiorten the average sensing time,and have beter robustnes.
分 类 号:TN929.5[电子电信—通信与信息系统]
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