基于Duffing混沌系统的频谱感知算法  

Spectrum Sensing Algorithm Based on Chaotic System in Cognitive Radio

作　　者：杨淼[1] 安建平[1] 陈宁[1] 卫景宠[2] 

机构地区：[1]北京理工大学信息与电子学院,北京100081 [2]中国兵器工业集团公司北方自动控制研究所,山西太原030001

出　　处：《北京理工大学学报》2011年第3期329-332,372,共5页Transactions of Beijing Institute of Technology

基　　金：国家"八六三"计划项目(2009AA01Z232)

摘　　要：针对极低信噪比情况,提出一种基于混沌理论的周期信号的频谱感知算法.该算法利用混沌系统中对周期小信号的敏感特性以及对噪声的免疫特性,在很大程度上解决了感知低功率谱密度信号和隐藏的授权用户的问题.仿真证明了算法的可行性和有效性.To sense the signal with extreme low SNR in cognitive radio,a periodical signal detection method based on chaos theory is proposed.The method can solve the problem of sensing hidden primary users and low power spectral density signals to a great extent by using the properties of chaos system to sense periodical weak signal and to immunize system from noise.Simulation result has verified the feasibility and validity of the proposed method.

关 键 词：频谱感知 混沌理论 DUFFING系统 微弱信号检测 

分 类 号：TN014[电子电信—物理电子学]