非线性功放信道下联合信道估计研究  

Joint Channel Estimation for Nonlinear System Channels

作　　者：孙珊珊[1] 孙学斌[1] 李斌[1] 周正[1] 

机构地区：[1]北京邮电大学信息与通信工程学院,北京100876

出　　处：《无线电工程》2013年第12期4-6,44,共4页Radio Engineering

基　　金：中央高校基本科研业务费专项资金资助项目(2012RC0103);国家自然科学基金资助项目(60902046;60972079;61271180);国家科技重大专项资助项目(2011ZX03005-002;2012ZX03001022)

摘　　要：为了解决非线性放大器在60 GHz毫米波信道中造成的非线性影响,提出了基于马尔科夫蒙特卡洛(Markov Chain Monte Carlo,MCMC)算法的联合信道估计与信号检测技术。采用的是MCMC算法中的Metropolis-Hastings方法,在非线性放大器及信道参数未知的情况下,通过被非线性和噪声污染的输出信号(观测信号)来估计非线性放大器的参数,检测输入信号被称为盲均衡技术。仿真结果给出了非线性参数与真实值的对比图以及随SNR变化的误比特率,性能优越。A novel approach based on Markov Chain Monte Carlo（ MCMC） for joint channel estimation suitable for 60 GHz millimeter-wave band system channel was proposed. To solve the problem that a simultaneous parameter estimation and data detection of finite-alphabet symbols that are blurred by Gaussian white noise and nonlinear amplifier with unknown nonlinear parameters in the 60 GHz millimeter-wave band system channel,Metropolis-Hastings method is used,which is one of MCMC method. In case that the nonlinear amplifier and channel parameters are unknown,the output signal（ observed） is used to estimate nonlinear amplifier parameter,which is called blind equalization. Excellent behavior of the proposed algorithms is presented in simulation.

关 键 词：信道估计 信号检测 MCMC技术 非线性 

分 类 号：TN911.7[电子电信—通信与信息系统]