Vector Modulator-Based Analog Beamforming Using the Least Euclidean Distance Criterion

In traditional multiple-input multiple-output (MIMO) receivers, radio frequency (RF) front-ends are exposed to interference as no analog spatial filtering is employed before the digital beamforming stage. Therefore the RF front-end is power-hungry, and analog to digital converters require a high dyn...

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Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.65411-65417
Main Authors: Alaei, Masoud Abbasi, Kokkeler, Andre B. J., De Boer, Pieter-Tjerk
Format: Article
Language:English
Subjects:
Algorithms
Analog to digital converters
Array signal processing
Beamforming
Domains
Euclidean distance
Euclidean geometry
Hybrid beamforming
Interference
interference mitigation
least Euclidean distance
Modulators
Narrowband
Phase modulation
Phase shifters
Radio frequency
Rejection
RF phase shifter and vector modulator
Simulation
Spatial filtering
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Summary:In traditional multiple-input multiple-output (MIMO) receivers, radio frequency (RF) front-ends are exposed to interference as no analog spatial filtering is employed before the digital beamforming stage. Therefore the RF front-end is power-hungry, and analog to digital converters require a high dynamic range. In this paper, we consider an analog beamforming system in case of narrowband signals to cancel interference early in the analog domain, thus reducing the required ADC resolution. In contrast to existing analog beamformers with only phase shifts, our proposed design employs vector modulators where the coefficients can be selected from a set of weights with variable phases and amplitudes. We also propose an efficient and fast Euclidean distance algorithm to determine the analog beamformer coefficients while being suitable for realistic scenarios. Finally, an expression is introduced to estimate the interference rejection achieved by employing the proposed algorithm and a vector modulator in the RF domain. The introduced algorithm leads to considerable improvement in computational complexity by slightly sacrificing interference rejection.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3074781