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On the Performance of L- and V-Shaped Arrays of Cardioid Microphones for Direction Finding
(IEEE, 2021-01-15)
The L-shaped and V-shaped arrays of first-order cardioid microphones for direction finding are presented in this paper. A comparative study of the direction of arrival estimation performance of the arrays was carried out ...
Comparing the “Rim” Versus the “Filled” Rectangular Array Grids—Their Direction-Finding Cramér-Rao Bounds
(IEEE, 2018)
A rectangular array of sensors is often used in direction finding, due to the geometric regularity in its spatial rectangular grid. The sensor positions may be confined to the rectangle's perimeter (as in a “rim” array), ...
Acoustical Direction Finding using a Bayesian Regularized Multilayer Perceptron Artificial Neural Networks on a Tri-Axial Velocity Sensor
(IJMEC, 2020-01)
A two-dimensional direction-of-arrival estimation scheme based on Bayesian-regularized (BR)
Multilayer Perceptron (MLP) artificial neural network (ANN) is developed around a unit
acoustic vector sensor (AVS). The AVS ...
A Centrosymmetric Array Comprising a Horizontal Uniform Circular Subarray and a Vertical Uniform Linear Subarray—Its Design in Reference to Its Direction-Finding Cramér–Rao Bound.
(IEEE, 2021-06)
Azimuthal centrosymmetry in an array grid is typically associated with arrays that are circular, concentric, cylindrical, spherical, or hemispherical. However, a recently proposed alternative combines an azimuthal circular ...
Hybrid Cramer-Rao bound for near-field source localization using a spatially spread acoustic vector sensor
(Acoustical Society of America, 2019-03)
This presentation characterizes the source-localization precision obtainable via "received signal strength indication" (RSSI) based on data from a tri-axial velocity sensor and a spatially separated pressure sensor. That ...