Algorithms for optimal signal set design
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 algorithms are embedded into stochastic global algorithms.
optimization signal set nonlinear programming