Sparse Array Beamformer Design via ADMM
Huiping Huang, Hing Cheung So, Abdelhak M. Zoubir
Abstract
In this paper, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-to-interference-plus-noise ratio (SINR). The proposed method uses the alternating direction method of multipliers (ADMM), and admits closed-form solutions at each ADMM iteration. Numerical results exhibit excellent performance of the proposed method, which is comparable to that of the exhaustive search approach.
Topics & Concepts
Adaptive beamformerBeamformingComputer scienceSignal-to-interference-plus-noise ratioAlgorithmSignal-to-noise ratio (imaging)Interference (communication)Sparse arrayMathematical optimizationNoise (video)MathematicsTelecommunicationsArtificial intelligencePower (physics)Image (mathematics)PhysicsChannel (broadcasting)Quantum mechanicsDirection-of-Arrival Estimation TechniquesAdvanced Adaptive Filtering TechniquesSpeech and Audio Processing