脈沖噪聲中的盲源分離方法
Blind sources separation in impulse noise
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摘要: 盲源分離的目的在于只利用接收數(shù)據(jù)把被瞬時(shí)線性混合的源信號(hào)恢復(fù)出來，該文討論的是一種在復(fù)各向同性的SS噪聲中的盲源分離方法，SS過程能夠很好地描述許多具有沖激特性的信號(hào)和噪聲，但其二階和高階統(tǒng)計(jì)量是不存在的，所以首先用基于子空間逼近和白化的方法對(duì)觀測(cè)數(shù)據(jù)進(jìn)行處理，然后利用特征矩陣近似聯(lián)合對(duì)角化方法來估計(jì)源信號(hào)和混合矩陣。仿真結(jié)果說明該方法具有良好的性能。
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關(guān)鍵詞:
- 盲源分離; SaS過程; 聯(lián)合對(duì)角化; 信號(hào)子空間
Abstract: Blind separation of sources consists of recovering a set of signals of which only-instantaneous linear mixing is observed. This paper presents a novel blind source separation method when noises are complex isotropic SaS process. SaS processes can describe many-signals and noises with impulsive nature, but its second order and high order statistics are infinite, so, a subspace approach is used to process the observed data, then joint approximate diagonalization of eigen-matrices is used to estimate the mixing matrix and source signals. Computer simulation shows the high performance of the proposed method. -
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