Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2015 | 2015 49TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS | Beamforming,Superposition principle,Underdetermined system,Computer science,Sensor array,Electronic engineering,Snapshot (computer storage),Amplitude,Compressed sensing |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Gerstoft | 1 | 86 | 22.34 |
| Angeliki Xenaki | 2 | 25 | 2.52 |
| Christoph F. Mecklenbräuker | 3 | 387 | 56.31 |
| Erich Zöchmann | 4 | 41 | 10.73 |