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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 被引量:2

Blind Separation Algorithm of Co-Frequency Modulated Signals Based on Particle Filtering in Time-Varying Channel
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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。 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 de- rived, 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 estima- tion and blind separation of the modulation parameters and transmitted symbols of the mixed signals.
作者 马欢 江桦
机构地区 信息工程大学
出处 《信息工程大学学报》 2014年第2期181-186,共6页 Journal of Information Engineering University
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 co-frequency modulated signals single-channel blind separation nonlinear state estima-tion particle filtering
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