Contributions to Proceedings:
P. Gerstoft, A. Xenaki, C. Mecklenbräuker, E. Zöchmann:
"Multiple Snapshot Compressive Beamforming";
in: "49th Asilomar Conference of Signals, Systems, and Computing",
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
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.