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P. Gerstoft, A. Xenaki, C. Mecklenbräuker, E. Zöchmann:
"Multiple Snapshot Compressive Beamforming";
in: "49th Asilomar Conference of Signals, Systems, and Computing", IEEE Xplore, 2015, 4 pages.

For sound fields observed on an array, compressive sensing (CS) reconstructs the multiple source signals at unknown directions-of-arrival (DOAs) using a sparsity constraint. The DOA estimation is posed as an underdetermined problem expressing the field at each sensor as a phase-lagged superposition of source amplitudes at all hypothetical DOAs. CS is applicable even for a single observation snapshot achieving a higher resolution than conventional beamforming. For multiple snapshots, CS outperforms conventional high-resolution methods, even with coherent arrivals and at low signal-to-noise ratio.

Direction-of-arrival estimation, Signal to noise ratio, Estimation, Array signal processing, Eigenvalues and eigenfunctions, Signal resolution, Image resolution

http://dx.doi.org/10.1109/ACSSC.2015.7421456