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Adaptive nonlinear optimization of the signal-to-noise ratio of an array subject to a constraint.Investigation of a stochastic projected gradient algorithm which can be used to find a constrained optimum point for a concave or convex objective function subject to nonlinear constraints. When the constraint consists of only one linear equation, convergence to the constrained optimum value is proven, and bounds are obtained for the rate of convergence of the algorithm to the constrained optimum value. This algorithm is then applied to the nonlinear problem of automatically making an array of detectors form a beam in a desired direction in space when unknown interfering noise is present so as to maximize the signal-to-noise ratio subject to a constraint on the supergain ratio.
Document ID
19720052841
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Winkler, L. P.
(Richmond College Staten Island, N.Y., United States)
Schwartz, M.
(Brooklyn, Polytechnic Institute, Brooklyn, N.Y., United States)
Date Acquired
August 6, 2013
Publication Date
July 1, 1972
Publication Information
Publication: Acoustical Society of America
Subject Category
Communications
Accession Number
72A36507
Funding Number(s)
CONTRACT_GRANT: NGR-33-006-020
CONTRACT_GRANT: NGR-33-006-040
Distribution Limits
Public
Copyright
Other

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