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Spatial aliasing suppression approach for pooled angular spectra of widely spaced microphone arrays


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Spatial aliasing suppression approach for pooled angular spectra of widely spaced microphone arrays
Chen ChunzengXu ZhiyongZhao Zhao
School of Electronic and Optical Engineering,Nanjing University of Science and Technology, Nanjing 210094,China
microphone arrays pooled angular spectra spatial aliasing energy accumulation constant false-alarm rate detection time-frequency sparsity
A pooled angular spectra method capable of suppressing spatial aliasing effectively is studied based on time-frequency sparsity of acoustic signals to estimate multi-source directions of arrival in reverberant environments for widely spaced microphone arrays.High-valued elements of spectral accumulation outputs are temporally pooled over frames by using the energy accumulation strategy and constant false-alarm rate detection technique.The height and number of spurious peaks of spatial aliasing are significantly lowered in the pooled angular spectra.Simulation results demonstrate that the height difference between true peaks associated with target sources and false ones can be obviously enlarged,and this method outperforms the existing counterparts in terms of spatial aliasing suppression for widely spaced arrays.


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Last Update: 2016-12-30