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March 1, 2001Journal of Research of the National Institute of Standards and TechnologyOpen Access

Global and local optimization algorithms for optimal signal set design

Anthony J. Kearsley

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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.

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Anthony J. Kearsley (2001) studied this question.

synapsesocial.com/papers/6a9ac351d7a9d2ca6590b4e5 https://doi.org/10.6028/jres.106.019

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