A Multipath Sparse Beamfroming Method

A novel formulation of beamforming is proposed for acquisition of the signals in reverberant acoustic clutter of interferences and noise. We derive the beamforming methods which incorporate the sparsity structure pertained to the acoustic source distribution and multipath propagation model. The quantitative assessments demonstrate that sparse beamforming enables effective beampattern steering from far fewer samples than the conventional beamformers. In addition, linear constraint on the desired channel rather than the desired direction improves the signal estimation performance in reverberant enclosures.


Presented at:
Signal Processing with Adaptive Sparse Structured Representations SPARS
Year:
2013
Laboratories:




 Record created 2013-12-19, last modified 2018-03-17


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