基于多小波双变换的非线性卫星信道盲均衡算法
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摘要
针对非线性卫星信道Volterra盲均衡系统收敛缓慢、计算复杂高等不足,提出了基于多小波双变换的非线性卫星信道盲均衡算法.该算法用Wiener均衡器代替Volterra均衡器,减小了均衡器结构的复杂性;用平衡正交多小波对Wiener均衡器的输入信号进行变换,降低了输入信号的自相关性;在Wiener均衡器输出端增加一级判决反馈滤波器,同时对其输入信号作平衡多小波变换,又降低了判决反馈滤波器输出信号的自相关性.仿真结果验证了该算法的有效性.
Aiming at the effects of slowconvergence speed and large computational loads of nonlinear satellite channel Volterra blind equalization system,a nonlinear satellite channel blind equalization algorithm based on multiwavelet double transformation is proposed. In the proposed algorithm,Volterra equalizer of the nonlinear satellite channel is replaced with Wiener equalizer to reduce the complexity of the equalizer structure. And the inputs of the Wiener equalizer are transformed via using balanced orthogonal multiwavelet transform to reduce the autocorrelation of the inputs. In addition,the decision feedback filter is added to the output terminal of the Wiener equalizer,as well as the inputs to the decision feedback filter are also transformed via using balanced multiwavelet transform to further reduce the their autocorrelation. The simulation results have verified the effectiveness of the proposed algorithm.
Aiming at the effects of slowconvergence speed and large computational loads of nonlinear satellite channel Volterra blind equalization system,a nonlinear satellite channel blind equalization algorithm based on multiwavelet double transformation is proposed. In the proposed algorithm,Volterra equalizer of the nonlinear satellite channel is replaced with Wiener equalizer to reduce the complexity of the equalizer structure. And the inputs of the Wiener equalizer are transformed via using balanced orthogonal multiwavelet transform to reduce the autocorrelation of the inputs. In addition,the decision feedback filter is added to the output terminal of the Wiener equalizer,as well as the inputs to the decision feedback filter are also transformed via using balanced multiwavelet transform to further reduce the their autocorrelation. The simulation results have verified the effectiveness of the proposed algorithm.
引文
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[10]刘顺兰,蒋树南.非线性信道的均衡算法研究[J].电子学报,2010,38(10):605-610.Xu Feng,Qiu Lede,Wang Yu.Equalization algorithms based on nonlinear channel[J].Acta Electronica Sinica,2010,38(10):605-610.(in Chinese)
[11]郭业才,刘振兴.基于平衡正交多小波变换的盲均衡算法[J].兵工学报,2010,31(3):279-284.Guo Yecai,Liu Zhenxing.Blind equalization based on balanced orthogonal multiw avelet transform[J].Acta Armamentari,2010,31(3):279-284.(in Chinese)
[12]Ogunfunmi T,Drullinger T.Equalization of non-linear channels using a Volterra-based nonlinear[A].Processing of the IEEE 54th International M idw est Symposium on Circuits and Systems(M WSCAS)[C].Seoul:IEEE Press,2011.1-4.
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[14]崔鹏辉,杨育红,朱义君,等.非线性卫星信道中的16APSK联合处理算法[J].数据采集与处理,2013,28(6):823-827.Cui Penghui,Yang Yuhong,Zhu Yijun,et al.Associated processing algorithm for 16APSK over nonlinear satellite channels[J].Journal of Data Acquisition&Processing,2013,28(6):823-827.(in Chinese)
[2]郭业才,徐冉.改进的非线性卫星信道均衡器[J].计算机应用,2013,33(11):3039-3041.Guo Yecai,Xu Rang.Improved equalizer of nonlinear satellite channel[J].Journal of Computer Application,2013,33(11):3039-3041.(in Chinese)
[3]Meloni A and Murroni M.On the genetic optimization of APSK constellations for satellite broadcasting[A].Processing of the IEEE International Symposium on Broadband M ultimedia Systems and Broadcasting(BM SB)[C].Beijing:IEEE Press,2014.1-6.
[4]赵海全,张家树.混沌通信系统中非线性信道的自适应组合神经网络均衡[J].物理学报,2008,57(7):3996-4006.Zhao Haiquan,Zhang Jiashu.Adaptive nonlinear channel equalization based on combination neural netw ork for chaosbased communication systems[J].Acta Physica Sinica,2008,57(7):3996-4006.(in Chinese)
[5]Piazza R,Mysore R B S,Ottersten B.Multicarrier LUTbased data predistortion for non-linear satellite channels[A].Processing of the IEEE International Conference on Communication(ICC)[C].Sydney:IEEE Press,2014.4319-4324.
[6]许光飞,张邦宁,郭道省.卫星信道中高阶APSK调制的非线性失真补偿算法[J].电讯技术,2010,50(4):69-74.Xu Guangfei,Zhang Bangning,Guo Daoxing.Nonlinear distortion compensation algorithm for high-level APSK modulations over satellite channels[J].Telecommunication Engineering,2010,50(4):69-74.(in Chinese)
[7]陈晖,王心霖,刘彬.卫星信道中基于部分解耦的volterra均衡算法[J].系统工程与电子技术,2013,35(4):847-852.Chen Hui,Wang Xinlin,Liu Bin.Partially decoupled volterra equalizer for digital satellite channels[J].System Engineering and Electronics,2013,35(4):847-852.(in Chinese)
[8]Benammar B,Thoms N,Poulliat C,et al.On linear MMSE based turbo equalization of nonlinear Volterra channels[A].Processing of the IEEE International Conference on Acoustics,Speech and Signal Processing(ICASSP)[C].Vancouver,BC:IEEE Press,2013.4703-4707
[9]Zerdoumi Z,Chikouche D and Benatia D.Adaptive decision feedback equalizer based neuralnetw ork for nonlinear channels[A].Processing of the 3rd International Conference on Systems and Control(ICSC)[C].Algiers:IEEE Press,2013.850-855.
[10]刘顺兰,蒋树南.非线性信道的均衡算法研究[J].电子学报,2010,38(10):605-610.Xu Feng,Qiu Lede,Wang Yu.Equalization algorithms based on nonlinear channel[J].Acta Electronica Sinica,2010,38(10):605-610.(in Chinese)
[11]郭业才,刘振兴.基于平衡正交多小波变换的盲均衡算法[J].兵工学报,2010,31(3):279-284.Guo Yecai,Liu Zhenxing.Blind equalization based on balanced orthogonal multiw avelet transform[J].Acta Armamentari,2010,31(3):279-284.(in Chinese)
[12]Ogunfunmi T,Drullinger T.Equalization of non-linear channels using a Volterra-based nonlinear[A].Processing of the IEEE 54th International M idw est Symposium on Circuits and Systems(M WSCAS)[C].Seoul:IEEE Press,2011.1-4.
[13]O'Droma M,Meza S,Lei Y M.New modified Saleh models for memoryless nonlinear pow er amp-lifier behavioural modeling[J].IEEE Communications Letters,2009,13(6):399-342.
[14]崔鹏辉,杨育红,朱义君,等.非线性卫星信道中的16APSK联合处理算法[J].数据采集与处理,2013,28(6):823-827.Cui Penghui,Yang Yuhong,Zhu Yijun,et al.Associated processing algorithm for 16APSK over nonlinear satellite channels[J].Journal of Data Acquisition&Processing,2013,28(6):823-827.(in Chinese)