基于信道参数与频率联合估计的PCMA信号单通道盲分离  

Single Channel Blind Separation of PCMA Signal Based on Joint Estimation of Channel Parameter and Frequency

作　　者：李雨 LI Yu(Southwest China Institute of Electronic Technology,Chengdu 610036,China)

机构地区：[1]中国西南电子技术研究所,成都610036

出　　处：《电讯技术》2024年第9期1474-1479,共6页Telecommunication Engineering

摘　　要：在成对载波多址信号的单通道盲分离过程中,通常需要将两路信号的频偏、初相、时延和成形滤波器的综合影响作为信道参数进行估计,因此即使在恒参信道下,频偏误差的存在也会导致信道参数的动态变化。目前的盲分离方法一般采用最小均方(Least Mean-Square,LMS)算法或递归最小二乘(Recursive Least-Square,RLS)算法进行信道参数跟踪,然而这类方法显然没有充分利用频偏导致信道参数周期性变化的先验信息。通过建立残余频偏与信道参数的误差模型,利用扩展卡尔曼滤波算法实现了频偏误差与时不变信道参数的联合估计。仿真实验表明,在频偏误差和恒参信道叠加的变参信道下,提出的方法在收敛能力、跟踪精度、分离性能上相比现有方法均有明显提升。In the process of paired carrier multiple access(PCMA)signal’s single channel blind separation,the equivalent channel response to be estimated is determined by frequency,phase,delay and shaping filter,among which frequency can cause time variation of channel response.Current methods to deal with this time-varying channel tracking problem mainly include Least Mean-Square(LMS)and Recursive Least-Square(RLS)algorithm.However,this kind of method doesn’t utilize the channel-frequency constraint as prior information.In this paper,the author establishes the error model of frequency and equivalent channel response,based on which extended Kalman filter(EKF)is adopted to realize the joint estimation of frequency error and channel parameter.Simulation results demonstrate that the proposed method shows better performance in convergence,channel estimation and symbol error rate.

关 键 词：成对载波多址(PCMA) 单通道盲分离 信道跟踪 自适应滤波 扩展卡尔曼滤波 

分 类 号：TN971[电子电信—信号与信息处理]