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作 者:Tian Jinfeng Jiang Yonglei Chen Huaxia Hu Honglin
机构地区:[1]Key Laboratory of Wireless Sensor Network & Communications, SIMIT, Chinese Academy of Science, Shanghai 200335, China [2]Shanghai Research Center for Wireless Communications, Shanghai 200335, China
出 处:《Journal of Electronics(China)》2011年第1期1-7,共7页电子科学学刊(英文版)
基 金:Supported by the National Natural Science Foundation of China(No.61002017 and No.61072076);the STCSM and Shanghai Rising-Star Program(10JC1414400)
摘 要:In this paper,using cyclostationarity-based sensing method to detect the presence of Orthogonal Frequency Division Multiplexing(OFDM) signal over doubly-selective fading channels is studied.By approximating the channel with Basis Expansion Model(BEM),we derive the second-order cyclostationary statistics of the received OFDM signal over doubly-selective fading channels.Theoretical analysis indicates that new cyclostationary signatures produced by Doppler spread and multipath delay can be further exploited in the detecting process.Simulation examples demonstrate that the sensing methods using channel-induced cyclostationary features provide substantial improvements on detection performance.In this paper, using cyclostationarity-based sensing method to detect the presence of Orthogonal Frequency Division Multiplexing (OFDM) signal over doubly-selective fading channels is studied. By approximating the channel with Basis Expansion Model (BEM), we derive the second-order cyclostationary statistics of the received OFDM signal over doubly-selective fading channels. Theoretical analysis indicates that new cyclostationary signatures produced by Doppler spread and multipath delay can be further exploited in the detecting process. Simulation examples demonstrate that the sensing methods using channel-induced cyclostationary features provide substantial improvements on detection performance.
关 键 词:Signai sensing CYCLOSTATIONARITY Orthogonal Frequency Division Multiplexing (OFDM) Doubly-selective fading
分 类 号:TN914.3[电子电信—通信与信息系统]
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