Real Life Harmonic Source Localization using a Network of Acoustic Vector Sensors

Regular paper

David Pérez Cabo

Microflown Avisa

Wednesday 3 june, 2015, 11:40 - 12:00

0.8 Rome (118)

Using networks of acoustic vector sensors for sound source localization and tracking has become of research interest given its importance in a great variety of applications. An Acoustic Vector Sensor (AVS) consists of two or three orthogonal particle velocity sensors in combination with a sound pressure microphone. In several publications it has been proven that multiple sources can be located in three dimensions with a single AVS. Furthermore, it has been demonstrated that ground-based two-dimensional acoustic vector sensors can be used to estimate the elevation of a single source. Two different algorithms for harmonic source localization using a distributed and synchronized network of 2-D AVS are presented and tested in this work. Both algorithms are based on the Direction Of Arrival (DOA) estimate performed by each sensor in the network for every dominant component of the source. Localization and tracking results based on simulations and two extensive measurements of flying aircrafts are also presented and discussed. Some of the main factors that affect the detection and the localization range are pointed out. An estimation of the maximum detection and localization range is given as a result for each measurement. Finally, localization performance regarding the network geometry is also discussed.

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