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.
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