| Single channel signal component separation using Bayesian estimation |
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| 作者单位： | Cai Quanwei（Coll. of Electronic Engineering, Univ. of Electronic Science and Technology, Chengdu 610054, P.R. China） ;Wei Ping （Coll. of Electronic Engineering, Univ. of Electronic Science and Technology, Chengdu 610054, P.R. China） ;Xiao Xianci（Coll. of Electronic Engineering, Univ. of Electronic Science and Technology, Chengdu 610054, P.R. China） ; |
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| 摘 要： | A Bayesian estimation method to separate multicomponent signals with single channel observation is presented in this paper. By using the basis function projection, the component separation becomes a problem of limited parameter estimation. Then, a Bayesian model for estimating parameters is set up. The reversible jump MCMC （Monte Carlo Markov Chain） algorithmis adopted to perform the Bayesian computation. The method can jointly estimate the parameters of each component and the component number. Simulation results demonstrate that the method has low SNR threshold and better performance.
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| 关 键 词： | 单信道 信号分量分隔 贝叶斯估计 MCMC 噪声 |
| 收稿时间： | 5 July 2005. |
Single channel signal component separation using Bayesian estimation |
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| Cai Quanwei,Wei Ping,Xiao Xianci. Single channel signal component separation using Bayesian estimation[J]. Journal of Systems Engineering and Electronics, 2007, 18(1): 33-39. DOI: 10.1016/S1004-4132(07)60046-2 |
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| Authors: | Cai Quanwei Wei Ping Xiao Xianci |
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| Affiliation: | Coll. of Electronic Engineering, Univ. of Electronic Science and Technology, Chengdu 610054, P.R. China |
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| Abstract: | A Bayesian estimation method to separate multicomponent signals with single channel observation is presented in this paper. By using the basis function projection, the component separation becomes a problem of limited parameter estimation. Then, a Bayesian model for estimating parameters is set up. The reversible jump MCMC (Monte Carlo Markov Chain) algorithmis adopted to perform the Bayesian computation. The method can jointly estimate the parameters of each component and the component number. Simulation results demonstrate that the method has low SNR threshold and better performance. |
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| Keywords: | Signal component separation Single channel Bayesian estimation Reversible jump MCMC |
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