title: Global and Local Optimization Algorithms for Optimal Signal Set Design.
abstract: The problem of choosing an optimal signal set for non-Gaussian detection was reduced to a smooth inequality constrained mini-max nonlinear programming problem by Gockenbach and Kearsley. Here we consider the application of several optimization algorithms, both global and local, to this problem. The most promising results are obtained when special-purpose sequential quadratic programming (SQP) algorithms are embedded into stochastic global algorithms.
authors: National Institute of Standards and Technology, Gaithersburg, MD 20899-8910.
authors: A J
authors: AJ
authors: Kearsley
keywords: Nonlinear programming; optimization; signal set