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Proceedings Paper

General optimization algorithm useful in spatial filter design
Author(s): Robert R. Kallman
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Paper Abstract

The author's formulation of spatial filter design involves the optimization of the filter's signal-to-clutter ratio, a very nonlinear, nondifferentiable function with tens of thousands of free parameters. Statements have appeared in what purport to be refereed papers which claim that only random search methods can be used to solve the required optimization. These statements are false. This paper gives an outline of an iterative technique and algorithm, supported by reasoning of a very general though embarrassingly elementary character, by which the optimization can be efficiently carried out. This iterative technique essentially involves the solution of a specialized quadratic programming problem at each iterative step.

Paper Details

Date Published: 22 October 1996
PDF: 7 pages
Proc. SPIE 2846, Advanced Signal Processing Algorithms, Architectures, and Implementations VI, (22 October 1996); doi: 10.1117/12.255452
Show Author Affiliations
Robert R. Kallman, Univ. of North Texas (United States)


Published in SPIE Proceedings Vol. 2846:
Advanced Signal Processing Algorithms, Architectures, and Implementations VI
Franklin T. Luk, Editor(s)

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