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Digital Predistortion for Hybrid MIMO Transmitters
Signal Processing · Submitted 6 Apr 2018
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim Finally, we also show that the array system out-of-band emissions are well-behaving in all spatial directions, and essentially below those of the corresponding single-antenna transmitter, due to the combined effects of the DPD and beamforming.
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This article investigates digital predistortion (DPD) linearization of hybrid beamforming large-scale antenna transmitters. We propose a novel DPD processing and learning technique for an antenna sub-array, which utilizes a combined signal of the individual power amplifier (PA) outputs in conjunction with a decorrelation-based learning rule. In effect, the proposed approach results in minimizing the nonlinear distortions in the direction of the intended receiver. This feature is highly desirable, since emissions in other directions are naturally weak due to beamforming. The proposed parameter learning technique requires only a single observation receiver, and therefore supports simple hardware implementation. It is also shown to clearly outperform the current state-of-the-art technique which utilizes only a single PA for learning. Analysis of the feedback network amplitude and phase imbalances reveals that the technique is robust even to high levels of such imbalances. Finally, we also show that the array system out-of-band emissions are well-behaving in all spatial directions, and essentially below those of the corresponding single-antenna transmitter, due to the combined effects of the DPD and beamforming.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | This article investigates digital predistortion (DPD) linearization of hybrid beamforming large-scale antenna transmitters. | background 0.56 | 0.74 | 0.05 | asserted 0.91 |
| s1 | We propose a novel DPD processing and learning technique for an antenna sub-array, which utilizes a combined signal of the individual power amplifier (PA) outputs in conjunction with a decorrelation-based learning rule. | contribution 0.60 | 0.93 | 0.09 | asserted 1.00 |
| s2 | In effect, the proposed approach results in minimizing the nonlinear distortions in the direction of the intended receiver. | result 0.63 | 0.80 | 0.29 | asserted 1.00 |
| s3 | This feature is highly desirable, since emissions in other directions are naturally weak due to beamforming. | interpretation 0.99 | 0.17 | 0.06 | asserted 0.98 |
| s4 | The proposed parameter learning technique requires only a single observation receiver, and therefore supports simple hardware implementation. | method 0.47 | 0.79 | 0.08 | asserted 0.97 |
| s5 | It is also shown to clearly outperform the current state-of-the-art technique which utilizes only a single PA for learning. | result 1.00 | 0.90 | 0.25 | asserted 1.00 |
| s6 | Analysis of the feedback network amplitude and phase imbalances reveals that the technique is robust even to high levels of such imbalances. | result 0.99 | 0.94 | 0.07 | asserted 1.00 |
| s7 | Finally, we also show that the array system out-of-band emissions are well-behaving in all spatial directions, and essentially below those of the corresponding single-antenna transmitter, due to the combined effects of the DPD and beamforming. | result 0.99 | 0.95 | 0.35 | asserted 1.00 |
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Original abstract
This article investigates digital predistortion (DPD) linearization of hybrid beamforming large-scale antenna transmitters. We propose a novel DPD processing and learning technique for an antenna sub-array, which utilizes a combined signal of the individual power amplifier (PA) outputs in conjunction with a decorrelation-based learning rule. In effect, the proposed approach results in minimizing the nonlinear distortions in the direction of the intended receiver. This feature is highly desirable, since emissions in other directions are naturally weak due to beamforming. The proposed parameter learning technique requires only a single observation receiver, and therefore supports simple hardware implementation. It is also shown to clearly outperform the current state-of-the-art technique which utilizes only a single PA for learning. Analysis of the feedback network amplitude and phase imbalances reveals that the technique is robust even to high levels of such imbalances. Finally, we also show that the array system out-of-band emissions are well-behaving in all spatial directions, and essentially below those of the corresponding single-antenna transmitter, due to the combined effects of the DPD and beamforming.
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What it cites · 6 sentences without a confident label
Uses the method or tool of 1 paper
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To assess how the emissions behave in other spatial directions under the proposed DPD solution, we apply a similar numerical approach as [ref] .
Out-of-Band Radiation from Large Antenna Arrays · Introduction · 0.99
Cites as support 1 paper
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For the other spatial directions, [ref] showed that the out-of-band emissions will be diluted due to non-coherent superposition of the transmit signals.
Out-of-Band Radiation from Large Antenna Arrays · Introduction · 0.97
Cites as background 1 paper
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Some recent studies have investigated the impact of PA nonlinearities on massive MIMO transmitters [ref] .
Out-of-Band Radiation from Large Antenna Arrays · Introduction · 0.92
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