基于多小波双变换的非线性卫星信道盲均衡算法  

Nonlinear Satellite Channel Blind Equalization Algorithm Based on Multi-Wavelet Double Transformation

作　　者：郭业才[1,2] 费赛男 王惠[1] 

机构地区：[1]南京信息工程大学江苏省气象探测与信息处理重点实验室,江苏南京210044 [2]江苏省大气环境与装备技术协同创新中心,江苏南京210044

出　　处：《电子学报》2016年第10期2384-2390,共7页Acta Electronica Sinica

基　　金：国家自然科学基金(No.61371131;No.61673222);全国优秀博士论文作者专项基金(No.200753);江苏省高校自然科学基金(No.13KJA510001);江苏高校科研成果产业化推进项目(No.JHB 2012-9);江苏省高校"信息与通信工程"优势学科建设项目(2014)

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.

关 键 词：非线性卫星信道 Volterra均衡器 平衡正交多小波双变换 判决反馈滤波器 

分 类 号：TN911.5[电子电信—通信与信息系统]