Title :
Coherent Source Direction-Finding using a Sparsely-Distributed Acoustic Vector-Sensor Array
Author_Institution :
Dept. of Electr. Eng., Duke Univ., Durham, NC, USA
fDate :
7/1/2012 12:00:00 AM
Abstract :
A novel algorithm is developed to estimate the two-dimensional direction-of-arrival (DOA) of the coherent sources based on a sparsely-distributed acoustic vector-sensor array. Only one-dimensional spatial-smoothing (SS) is used to restore the rank of the covariance matrix, and the algorithm can offer closed-form DOA estimation of the coherent sources. The proposed approach 1) avoids the iterative search in the "particle-velocity-field smoothing" (PVFS) algorithm, and 2) compensates the array aperture decreasing in the traditional SS algorithm. The inter-sensor spacing phase-factors are used to improve the DOA estimation accuracy. Simulation results verify the efficacy of the proposed algorithm.
Keywords :
acoustic signal processing; acoustic transducers; array signal processing; direction-of-arrival estimation; distributed sensors; sensor arrays; smoothing methods; DOA; coherent source direction finding; covariance matrix; iterative search; one dimensional spatial smoothing; particle velocity field smoothing algorithm; sparsely distributed acoustic vecto sensor array; sparsely distributed acoustic vector sensor array; two dimensional direction-of-arrival estimation; Acoustics; Arrays; Covariance matrix; Direction of arrival estimation; Geometry; Sensors; Vectors;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2012.6237621