Title :
Noise Statistics of a Higher Order Directional Sensor, Realized by Computing Finite Differences Spatially Across Multiple Isotropic Sensors
Author :
Olenko, Andriy Y. ; Wong, Kainam Thomas
Author_Institution :
Dept. of Math. & Stat., La Trobe Univ., Melbourne, VIC, Australia
Abstract :
An acoustic "particle velocity sensor" (a.k.a. a geophone) exhibits a gain-response with a cosine-like directivity. The particle velocity sensor may be realized in hardware by two "pressure sensors" (of isotropic directivity) displaced in space, and by computing the spatial first-order finite difference between the data of the two isotropic component-sensors. As each component-sensor\´s data are degraded by additive noises (modeled here with much generality as stochastically distributed as "stable" (a.k.a. "alpha stable" or "$alpha$ stable"), and not restricted to being Gaussian), the particle velocity sensor as a whole would also experience noise, the statistics of which is analytically derived here. Furthermore, beyond this particle velocity sensor involving a first-order finite difference, the work presented here also derives the composite noise statistics of higher order difference realizations of sensors of higher order directivity in their gain responses.
Keywords :
finite difference methods; pressure sensors; sensor fusion; α stable; acoustic particle velocity sensor; additive noises; alpha stable; composite noise statistics; cosine-like directivity; finite differences computing; gain response; gain responses; geophone; higher order directional sensor; isotropic directivity; multiple isotropic sensors; noise statistics; particle velocity sensor; pressure sensors; spatial first-order finite difference; Acoustic measurements; Acoustics; Finite difference methods; Noise; Probability distribution; Random variables; Vectors;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2013.6621854