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Subspace Constrained Independent Vector Extraction

In many application scenarios, we wish to extract the target source signal from an observed mixture, which is contaminated by interfering source signals. To solve this problem, a blind source extraction (BSE) method called independent vector extraction (IVE) has been proposed recently. In this paper, we propose an extension of the IVE by introducing a subspace constraint. First, we estimate the subspaces of the target source signal and interfering source signals, given the rough information about the target source signal’s direction of arrival (DOA). Second, the estimated subspaces are used to construct the constraint for the demixing filter of the target source signal. This constraint regularizes the cost function of the IVE to find the target source signal. The experimental results show that the subspace constrained IVE outperforms the conventional IVE in terms of source separation accuracy.