DocumentCode
1003145
Title
Simulation of the beam response of distributed signals
Author
Christou, Carol T. ; Jacyna, Garry M.
Author_Institution
MITRE Corp., McLean, VA, USA
Volume
53
Issue
8
fYear
2005
Firstpage
3023
Lastpage
3031
Abstract
Conventional beamforming methods are generally formulated in terms of far-field point sources, with emitted signals following a single path to an array. This is generally not true for sources with appreciable spatial extent, such as close aboard targets in the near field of a sonar array. In an effort to make an Acoustic Submarine Sonar simulation process more realistic, a model has been developed for incorporating the uncertainty associated with spatial target extent into the beamforming module of the simulator. It is assumed that the amplitudes of small volume elements of a spread source are statistically independent and that the observation update time ΔT is short enough for the distances from the array center to the source volume elements to remain approximately constant during ΔT. It is shown that the beam response of an extended source may be expressed as a convolution of the beampattern of a point source and a "directivity factor" for the spread source. Equivalently, this may be thought of as an average of the beampattern weighted by the probability density function (PDF) representing the spatial distribution of a source about its center of mass angular coordinates. Results are derived theoretically for the general three-dimensional (3-D) array case, and then specialized to two- and one-dimensional (2-D and 1-D) arrays. Because beamforming is done in azimuth and elevation, a PDF that best allows modeling of directional response properties should be chosen. The choice in this analysis for volumetric and planar arrays is the von Mises-Fisher distribution, which is a function of the angular deviations of the source elements from the center of mass and a parameter that incorporates the uncertainty associated with target distance, size, and aspect angle. Results are presented for spherical, hull, and towed linear arrays.
Keywords
Fourier transforms; acoustic convolution; array signal processing; covariance matrices; distributed algorithms; multidimensional signal processing; sonar arrays; sonar signal processing; statistical analysis; Fourier transform; acoustic submarine sonar simulation process; angular convolution; array signal processing; beam response; beamforming method; beampattern convolution; covariance matrix; directional response property; directivity factor; distributed signal; distributed source; far-field point source; multidimensional array; one-dimensional array; planar array; probability density function; signal representation; sonar array; spatial source distribution; spread source; statistical analysis; three-dimensional array; two-dimensional array; Acoustic beams; Acoustic emission; Array signal processing; Azimuth; Convolution; Probability density function; Sonar; Uncertainty; Underwater acoustics; Underwater vehicles; Angular convolution; beam patterns; distributed sources; multidimensional arrays; von Mises distribution;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2005.851097
Filename
1468496
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