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一种时变信道下基于粒子滤波的同频混合信号盲分离方法
引用本文:马欢,江桦.一种时变信道下基于粒子滤波的同频混合信号盲分离方法[J].信息工程大学学报,2014,15(2):181-186.
作者姓名:马欢  江桦
作者单位:信息工程大学,河南郑州450001
摘    要:文章建立了时变信道下同频混合信号的基本模型,提出了利用粒子滤波的混合信号调制参数估计与盲分离算法.通过将混合信号的时变调制参数建模为一阶AR模型,重点推导了参数与符号序列的粒子更新公式,确定了粒子的权值更新方法,给出了相应的后验概率密度估计.实验仿真表明,文章算法能够较好地实现混合信号的调制参数估计和盲分离.

关 键 词:同频混合信号  单通道盲分离  非线性状态估计  粒子滤波

Blind Separation Algorithm of Co-Frequency Modulated Signals Based on Particle Filtering in Time-Varying Channel
MA Huan,JIANG Hua.Blind Separation Algorithm of Co-Frequency Modulated Signals Based on Particle Filtering in Time-Varying Channel[J].Journal of Information Engineering University,2014,15(2):181-186.
Authors:MA Huan  JIANG Hua
Affiliation:(Information Engineering University, Zhengzhou 450001, China)
Abstract:A basic model is established for mixtures of two co frequency modulated signals in time varying channels, and an algorithm based on particle filtering is proposed to estimate the modulation parameters and transmitted symbols. By modeling the time varying modulation parameters as AR model of the first order, formulae for particle update of parameters and symbol series are mainly derived, particle weights updating method is determined, and the estimation of a posterior distribution function is presented. Simulation results show that the proposed algorithm is feasible for the estimation and blind separation of the modulation parameters and transmitted symbols of the mixed signals.
Keywords:co-frequency modulated signals  single-channel blind separation  nonlinear state estima-tion  particle filtering
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