Constant Modulus Algorithms via Low-Rank Approximation
Author(s)
Adler, Amir; Wax, Mati
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We present a novel convex-optimization-based approach to the solutions of a family of problems involving constant modulus signals. The family of problems includes the constant modulus and the constrained constant modulus, as well as the modified constant modulus and the constrained modified constant modulus. The usefulness of the proposed solutions is demonstrated for the tasks of blind beamforming and blind multiuser detection. The performance of these solutions, as we demonstrate by simulated data, is superior to existing methods.
Date issued
2018-04-12Publisher
Center for Brains, Minds and Machines (CBMM)
Series/Report no.
CBMM Memo Series;077
Keywords
Constant modulus, convex optimization, trace norm
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