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Summary: 1
Lung sound localization using array of acoustic
sensors
S.M. Akramus Salehin and Thushara D. Abhayapala
Applied Signal Processing Group
College of Engineering & Computer Science
The Australian National University
Abstract-- This paper presents a localization algorithm to
detect lung sounds using an circular array of microphones. We
use the natural basis functions of propagation waves in height
invariant wavefields to form a spatial minimum variance (MV)
problem in eigen space. We also derive a Nyquist criteria for
localizing sources within a circular. Further, the Nyquist criteria
shows that the radius of the region where sources can be localized
is inversely proportional to the frequency of sound. The modified
Nyquist criteria can be used for determining the number of
sensors required for a required resolution, frequency range, and
radius of the region for which sources need to be localized. The
results are corroborated by computer simulations.
I. INTRODUCTION
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