Gockenbach, Mark S.Kearsley, Anthony J.2018-06-182018-06-181995-05Gockenbach, Mark S. and Kearsley, Anthony J.. "Optimal Signal Sets for Non-Gaussian Detectors." (1995) <a href="https://hdl.handle.net/1911/101856">https://hdl.handle.net/1911/101856</a>.https://hdl.handle.net/1911/101856Identifying a maximally-separated set of signals is important in the design of modems.  The notion of optimality is dependent on the model chosen to describe noise in the measurements; while some analytic results can be derived under the assumption of Gaussian noise, no such techniques are known for choosing signal acts in the non-Gaussian case. To obtain numerical solutions for non-Gaussian detectors, minimax problems are transformed into nonlinear programs,resulting in a novel formulation yielding problems with relatively few variables and many inequality constraints. Using sequential quadratic programming, optimal signal sets are obtained for a variety of noise distributions.10 ppengTechnical reportTR95-11