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The singular value decomposition applied to linear imaging with rectangular arrays

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2 Author(s)
R. J. Kozick ; Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA ; S. A. Kassam

Two-dimensional arrays find applications in many imaging systems. The concept of the sum coarray of an active imaging system is used to develop techniques which allow a (P+Q)-element, L-shaped array to perform as well as a filled rectangular array composed of (P+1)(Q+1)/2 elements. This result is true for linear, narrowband imaging of far-field objects, and is achieved through additional processing of the data obtained from the L-shaped array. A convenient procedure is formulated in terms of the singular value decomposition of a particular matrix, after which the technique is extended to other array geometries and to passive imaging

Published in:

Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on

Date of Conference:

9-10 May 1991