Global and local optimization algorithms for optimal signal set design

Authors
Kearsley, AJ
Citation
Aj. Kearsley, Global and local optimization algorithms for optimal signal set design, J RES NAT I, 106(2), 2001, pp. 441-454
Citations number
25
Categorie Soggetti
Multidisciplinary,"Engineering Management /General
Journal title
JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY
ISSN journal
1044677X → ACNP
Volume
106
Issue
2
Year of publication
2001
Pages
441 - 454
Database
ISI
SICI code
1044-677X(200103/04)106:2<441:GALOAF>2.0.ZU;2-U
Abstract
The problem of choosing an optimal signal set for non-Gaussian detection wa s reduced to a smooth inequality constrained mini-max nonlinear programming problem by Gockenbach and Kearsley. Here we consider the application of se veral optimization algorithms, both global and local, to this problem. The most promising results are obtained when special-purpose sequential quadrat ic programming (SQP) algorithms are embedded into stochastic global algorit hms.