Separable Least-Mean Squares Beamforming

Lucas N. Ribeiro, Bruno Sokal, André L. F. de Almeida, João César M. Mota

DOI: 10.14209/sbrt.2018.189

Evento: XXXVI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2018)

Keywords: Beamforming Adaptive Filtering Tensor Product

Abstract

Large-scale antenna systems have attracted much research efforts due to its application to modern mobile commu- nications systems. Designing such arrays, however, can be chal- lenging due to the computational efforts of classical signal pro- cessing methods. To tackle this issue, we investigate Kronecker- separable adaptive filtering methods. Simulation results suggest that this approach exhibits better convergence properties in some scenarios compared to the classical adaptive filtering benchmark.

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