Separable Least-Mean Squares Beamforming

Abstract

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