Conference paper Open Access

# DOA ESTIMATION WITH HISTOGRAM ANALYSIS OF SPATIALLY CONSTRAINED ACTIVE INTENSITY VECTORS

Symeon Delikaris-Manias; Despoina Pavlidi; Athanasios Mouchtaris; Ville Pulkki

### Citation Style Language JSON Export

{
"DOI": "10.1109/ICASSP.2017.7952211",
"title": "DOA ESTIMATION WITH HISTOGRAM ANALYSIS OF SPATIALLY CONSTRAINED ACTIVE INTENSITY VECTORS",
"issued": {
"date-parts": [
[
2017,
3,
9
]
]
},
"abstract": "<p>The active intensity vector (AIV) is a common descriptor of the sound field. In microphone array processing, AIV is commonly approximated with beamforming operations and uti- lized as a direction of arrival (DOA) estimator. However, in its original form, it provides inaccurate estimates in sound field conditions where coherent sound sources are simultane- ously active. In this work we utilize a higher order intensity- based DOA estimator on spatially-constrained regions (SCR) to overcome such limitations. We then apply 1-dimensional (1D) histogram processing on the noisy estimates for mul- tiple DOA estimation. The performance of the estimator is shown with a 7-channel microphone array, fitted on a rigid mobile-like device, in reverberant conditions and under dif- ferent signal-to-noise ratios.\u00a0</p>",
"author": [
{
"family": "Symeon Delikaris-Manias"
},
{
"family": "Despoina Pavlidi"
},
{
"family": "Athanasios Mouchtaris"
},
{
"family": "Ville Pulkki"
}
],
"note": "This research has been partly funded by the Aalto ELEC Doctoral School and the European Union's Horizon 2020 research and innovation programme under the Marie Sk\u0142odowska- Curie grant agreement No 644283",
"type": "paper-conference",
"id": "836629"
}
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