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Embedded Second-Order Cone Programming with Radar Applications

Paul Mountcastle, Tom Henretty, Aale Naqvi, Richard Lethin
Publication Source: The IEEE Conference on High Performance Extreme Computing (HPEC), Waltham, MA, USA, 2015

Second-order cone programming (SOCP) is required for the solution of underdetermined systems of linear equations with complex coefficients, subject to the minimization of a convex objective function. This type of computational problem appears in compressed radar sensing, where the goal is to reconstruct a sparse image in a generalized space of phase model parameters whose dimension is higher than the number of complex measurements.
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