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论文类型：会议论文

发表时间：2011-07-26

收录刊物：EI、Scopus

卷号：1

页面范围：416-420

摘要：Parallel factor analysis (PARAFAC) has found numerous applications in blind signal processing, mainly due to its nice identifiability. However, the standard PARAFAC decomposition does not use prior information on the mixing procedure, which could actually be roughly estimated. As a result, the standard PARAFAC is ambiguious in permutation, and may converge slowly in the presence of collinearity. In this paper, we assume that the steering vector of the target source is coarsely known, and propose a spatially constrained PARAFAC algorithm by using this prior information. In addition, a semi-blind beamformer with multiple-invariance array is presented based on the above spatially constrained PARAFAC. Simulations are provided to verify the efficacy of the proposed method. ? 2011 IEEE.