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基于Duffing混沌系统的频谱感知算法
引用本文:杨淼,安建平,陈宁,卫景宠.基于Duffing混沌系统的频谱感知算法[J].北京理工大学学报,2011,31(3):329-332,372.
作者姓名:杨淼  安建平  陈宁  卫景宠
作者单位:北京理工大学信息与电子学院;中国兵器工业集团公司北方自动控制研究所;
基金项目: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.

关 键 词:频谱感知  混沌理论  Duffing系统  微弱信号检测
收稿时间:2010/3/11 0:00:00

Spectrum Sensing Algorithm Based on Chaotic System in Cognitive Radio
YANG Miao,AN Jian-ping,CHEN Ning and WEI Jing-chong.Spectrum Sensing Algorithm Based on Chaotic System in Cognitive Radio[J].Journal of Beijing Institute of Technology(Natural Science Edition),2011,31(3):329-332,372.
Authors:YANG Miao  AN Jian-ping  CHEN Ning and WEI Jing-chong
Institution:YANG Miao1,AN Jian-ping1,CHEN Ning1,WEI Jing-chong2(1.School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China,2.China North Industries Group Corporation,North Automatic Control Technology Institute,Taiyuan,Shanxi 030001,China)
Abstract: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.
Keywords:spectrum sensing  chaos theory  Duffing system  weak signal detection  
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