Real Life Harmonic Source Localization using a Network of Acoustic Vector Sensors
Regular paper
Microflown Avisa
Wednesday 3 june, 2015, 11:40 - 12:00
0.8 Rome (118)
Abstract:
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.