双选择性衰落信道下的频谱感知
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摘要
为提高双选择性衰落信道环境下频谱感知性能,提出了一种基于改进的复指数基扩展模型进行信道建模的频谱检测方法.该方法是在一般的复指数基扩展模型的基础上,采用一种能自适应移动速度的基函数,在恒虚警概率条件下,利用接收信号的循环特征,对授权用户的频谱进行感知.实验结果表明,在低信噪比和认知用户移动速度不断变化的环境下该方法有较好的检测性能.
To improve the spectrum sensing performance over doubly-selective fading channels,this paper puts forward a spectrum detection method for channel modeling based on the modified complex exponential basis expansion model. For better reflecting the facticity of the channel,on the basis of complex exponential basis expansion model,we adopt the basis function which can be adaptive to mobile speed. Under the conditions of constant false alarm rate,the spectrum detection of authorized user is getting by using the cyclostationary feature of received signal. The simulation results show that the proposed method will get better detection performance in the low SNR and the dynamic moving speed environment for CR users.
To improve the spectrum sensing performance over doubly-selective fading channels,this paper puts forward a spectrum detection method for channel modeling based on the modified complex exponential basis expansion model. For better reflecting the facticity of the channel,on the basis of complex exponential basis expansion model,we adopt the basis function which can be adaptive to mobile speed. Under the conditions of constant false alarm rate,the spectrum detection of authorized user is getting by using the cyclostationary feature of received signal. The simulation results show that the proposed method will get better detection performance in the low SNR and the dynamic moving speed environment for CR users.
引文
[1]Tian Jinfeng,Jiang Yonglei.Sensing of OFDM signals with cyclic delay diversity over doubly-selective fading channels[J].Transactions on Emerging Telecommunications technologies,2012,23:234-239.
[2]Tian Jinfeng,Guo Haiyou,Hu Honglin,et al.OFDM Signal Sensing over Doubly-Selective Fading Channels[C]//GTC.Global Telecommunications Conference.Miami:GTC,2010:1-5.
[3]Tian Jinfeng,Jiang Yonglei,Chen Huaxia,et al.Cyclostationarity-Based OFDM signal sensing over Doubly-Selective Fading Channels[J].Journal of Electronics(CHINA),2011,28(1):1-7.
[4]Jiang Yonglei,Hu Honglin.Asymptotically maximum likelihood detection for subcarrier mapping-induced cyclostationary signatures in cognitive radio networks[J].International Journal of Communications Systems,2013,26(8):1011-1027.
[5]张婷婷.认知无线电多信道频谱感知与载波聚合研究[D].北京:北京邮电大学,2013.
[6]Li B,Zhou Z,Arumugam N.Joint estimation based spectrum sensing for cognitive radios in time-variant fading channels[C]//GCC.Global Communications Conference.Atlanta:GCC,2013:3212-3217.
[7]钟科,雷霞.高速移动环境下基于基扩展模型的信道估计技术[C]//中国通信学会.2009中国西部第6届青年通信学术会议论文集.成都:中国通信学会,2011.
[8]Tang Z,RC C,Leus G,etal.Pilot-Assisted TimeVarying Channel Estimation for OFDM Systems[J].IEEE Transactions on Signal Processing,2007,55(5):2226-2238.
[9]Leus G.On the Estimation of Rapidly Time-varying Channels[C]//ESPC.European Signal Processing Conference.London:ESPC,2004:227-230.
[10]Zemen T,Mecklenbrauker C F.Time-variant channel estimation using discrete prolate spherical sequences[J].IEEE Transactions on Signal Processing,2005,53(9):.3597-3607.
[11]A.V.Dandawate,G.B.Giannakis.Statistical tests for presence of cyclostationarity[J].IEEE Transaction Signal Process,1994,42(9):2355-2369.
[12]Ma,Xiaoli,Giannakis,et al.Optimal training for block transmissions over doubly selective wireless fading channels[J].Signal Processing,IEEE Transactions,2003,51(5):1351-1366.
[2]Tian Jinfeng,Guo Haiyou,Hu Honglin,et al.OFDM Signal Sensing over Doubly-Selective Fading Channels[C]//GTC.Global Telecommunications Conference.Miami:GTC,2010:1-5.
[3]Tian Jinfeng,Jiang Yonglei,Chen Huaxia,et al.Cyclostationarity-Based OFDM signal sensing over Doubly-Selective Fading Channels[J].Journal of Electronics(CHINA),2011,28(1):1-7.
[4]Jiang Yonglei,Hu Honglin.Asymptotically maximum likelihood detection for subcarrier mapping-induced cyclostationary signatures in cognitive radio networks[J].International Journal of Communications Systems,2013,26(8):1011-1027.
[5]张婷婷.认知无线电多信道频谱感知与载波聚合研究[D].北京:北京邮电大学,2013.
[6]Li B,Zhou Z,Arumugam N.Joint estimation based spectrum sensing for cognitive radios in time-variant fading channels[C]//GCC.Global Communications Conference.Atlanta:GCC,2013:3212-3217.
[7]钟科,雷霞.高速移动环境下基于基扩展模型的信道估计技术[C]//中国通信学会.2009中国西部第6届青年通信学术会议论文集.成都:中国通信学会,2011.
[8]Tang Z,RC C,Leus G,etal.Pilot-Assisted TimeVarying Channel Estimation for OFDM Systems[J].IEEE Transactions on Signal Processing,2007,55(5):2226-2238.
[9]Leus G.On the Estimation of Rapidly Time-varying Channels[C]//ESPC.European Signal Processing Conference.London:ESPC,2004:227-230.
[10]Zemen T,Mecklenbrauker C F.Time-variant channel estimation using discrete prolate spherical sequences[J].IEEE Transactions on Signal Processing,2005,53(9):.3597-3607.
[11]A.V.Dandawate,G.B.Giannakis.Statistical tests for presence of cyclostationarity[J].IEEE Transaction Signal Process,1994,42(9):2355-2369.
[12]Ma,Xiaoli,Giannakis,et al.Optimal training for block transmissions over doubly selective wireless fading channels[J].Signal Processing,IEEE Transactions,2003,51(5):1351-1366.