Low-Complexity separable beamformers for massive antenna array systems
- Author(s): Lucas N. Ribeiro 1 ; André L.F. de Almeida 1 ; Josef A. Nossek 1, 2 ; João César M. Mota 1
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View affiliations
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Affiliations:
1:
Wireless Telecommunications Research Group , Federal University of Ceará , Fortaleza , Brazil ;
2: Department of Electrical and Computer Engineering , Technical University Munich , Munich , Germany
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Affiliations:
1:
Wireless Telecommunications Research Group , Federal University of Ceará , Fortaleza , Brazil ;
- Source:
Volume 13, Issue 4,
June
2019,
p.
434 – 442
DOI: 10.1049/iet-spr.2018.5115 , Print ISSN 1751-9675, Online ISSN 1751-9683
Future cellular systems will likely employ massive bi-dimensional arrays to improve performance by large array gain and more accurate spatial filtering, motivating the design of low-complexity signal-processing methods. The authors propose optimising a Kronecker-separable beamforming filter that takes advantage of the bi-dimensional array geometry to reduce computational costs. The Kronecker factors are obtained using two strategies: alternating optimisation and sub-array minimum mean square error (MMSE) beamforming with Tikhonov regularisation. According to the simulation results, the proposed methods are computationally efficient but come with source recovery degradation, which becomes negligible when the sources are sufficiently separated in space.
Inspec keywords: cost reduction; optimisation; array signal processing; spatial filters; least mean squares methods; mobile antennas; antenna arrays; cellular radio
Other keywords: massive bi-dimensional arrays; future cellular systems; low-complexity signal-processing methods; computational cost reduction; low-complexity separable beamformers; massive antenna array systems; bi-dimensional array geometry; array gain; alternating optimisation; Kronecker factors; Kronecker-separable beamforming filter; source recovery degradation; Tikhonov regularisation; spatial filtering; sub-array minimum mean square error beamforming
Subjects: Mobile radio systems; Filtering methods in signal processing; Interpolation and function approximation (numerical analysis); Optimisation techniques; Antenna arrays
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