Abstract
The need for high resolution acoustic image formation under the constraints imposed by small (≈ 100 wavelengths) apertures, long wavelength radiation, and sparsely sampled discrete apertures is encountered in many applications. Most techniques currently in use require large arrays for resolution and uniform sampling of the array aperture for sidelobe control to yield adequate performance when imaging specular reflectors. This paper examines the applicability of the data-adaptive array processing technique known as the Maximum Likelihood Method to image formation in the undersea environment, where acoustics and acoustic imaging techniques have long been of interest as a result of their utility in probing where electromagnetic radiation will not penetrate. The approach taken is to suppress the usual deterministic outlook wherein the propagation phenomenon is “undone”, and to look at the problem in a statistical sense. The result is an imaging technique that is essentially spatial and temporal spectral density estimation for a space/time random process which is sampled at a small number of discrete spatial locations.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Wade, G.; Wollman, M.; and Wang, K.; “A Holographic System for use in the Ocean”, Acoustical Holography, Vol. 3; Plenum, Press, 1971.
Wollman, M.; Wade, G.; “Experimental Results from an Underwater Acoustical Holographic System”, Acoustical Holography, Vol. 5; Plenum Press, 1973.
Flesher, G.T.; Wollman, M.; and Wade, G.; “Multichannel Underwater Acoustic Holographic System”, IEEE Ocean’ 75, IEEE Press, 1975.
Duckworth, G.L.; Adaptive Array Processing for High Resolution Acoustic Imaging; Masters Thesis in the Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, September 1979.
Baggeroer, A.B.; Space/Time Random Processes and Optimum Array Processing; Naval Undersea Center document NVD TD 506, 1976.
Capon, J.; Greenfield, R.J.; Kolker, R.J.; “Multidimensional Maximum Likelihood Processing of a Large Aperture Seismic Array”, Proceedings of the IEEE, Vol. 55, #2, February, 1967.
Capon, J.; “High Resolution Frequency Wavenumber Analysis”, Proceedings of the IEEE, Vol. 57, #8, August, 1969.
Capon, J.; Goodman, N.R.; “Probability Distributions for Estimators of the Frequency Wavenumber Spectrum”, Proceedings of the IEEE, Vol. 58, pp. 1785–86, October, 1970.
Duckworth, G.L.; “Array Processing for a Distributed Sensor Network Node”, (A Lincoln Laboratories Technical note to be published).
Markel, J.D.: “FFT Pruning”, IEEE Transactions on Audio and Electroacoustics, Vol. AV-19, #4, December, 1971.
Strang, G.; Linear Algebra and its Applications, Academic Press, N.Y., 1976.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1980 Plenum Press, New York
About this chapter
Cite this chapter
Duckworth, G.L. (1980). Adaptive Array Processing for Acoustic Imaging. In: Wang, K.Y. (eds) Acoustical Imaging. Acoustical Imaging, vol 9. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-3755-3_13
Download citation
DOI: https://doi.org/10.1007/978-1-4684-3755-3_13
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4684-3757-7
Online ISBN: 978-1-4684-3755-3
eBook Packages: Springer Book Archive