基于粒子滤波的混沌信号盲分离
doi: 10.3724/SP.J.1146.2006.01207
Blind Separation Based on Particle Filtering for Chaotic Signal
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摘要: 该文首先建立了混沌信号盲分离问题的状态空间模型,进而通过引入Rao-Blackwellisaion策略和加扰动的方法,提出了一种基于粒子滤波的在线盲分离算法。在此基础上,为了降低分离后信号中的残留噪声,提出了新颖的延迟估计方法,很好地解决了传统的延迟加权(delay-weight)方法中信号源之间的相互干扰问题。
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关键词:
- 混沌信号;盲分离;粒子滤波
Abstract: A state space model for chaotic signal blind separation is first suggested, and then combined the Rao-Blackwellisaion (RB) strategy and incorporated roughening noise method, a particle filtering based online blind separation algorithm is proposed. To further decrease the residual noise in the online recovered signals, a novel delay estimation method which can effectively reduce the cross influence of source signals compared to the traditional delay-weight method is proposed. -
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