2021
DOI: 10.1109/tmtt.2020.3022382
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A Circuit-Inspired Digital Predistortion of Supply Network Effects for Capacitive RF-DACs

Abstract: This article presents a novel digital predistortion (DPD) approach to compensate for nonlinear dynamic distortions caused by the supply network of capacitive radio frequency digital-to-analog converters (RF-DACs). The developed DPD concept recreates the voltage distortion on the RF-DAC's supply network and modulates the input signal such that the effects on the output signal of the RF-DAC are canceled. In contrast to conventional DPD approaches such as pruned Volterra series or memory polynomials, the complexi… Show more

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Cited by 6 publications
(4 citation statements)
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“…Code-dependent supply current will result in a voltage drop over Z supply , regardless of whether star connections to ground and the supply are used. As the SCPA is a DAC with its supply as reference voltage, this will result in nonlinear behavior [18], [19]. When multiple SCPAs are connected to the same power supply as in Fig.…”
Section: B Power Supply Impedancementioning
confidence: 99%
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“…Code-dependent supply current will result in a voltage drop over Z supply , regardless of whether star connections to ground and the supply are used. As the SCPA is a DAC with its supply as reference voltage, this will result in nonlinear behavior [18], [19]. When multiple SCPAs are connected to the same power supply as in Fig.…”
Section: B Power Supply Impedancementioning
confidence: 99%
“…The implementation based on switches and accurately matched capacitors makes it intrinsically highly linear [14]. This linearity is predominantly limited by the code-dependence output impedance [14], [17] and the quality of the power supply, as the supply voltage is the reference voltage for the RF-DAC [18]. Techniques to linearize the code-dependent output conductance have been proposed in [8] and [7], and a wideband low-impedance supply was proposed in [19].…”
Section: Introductionmentioning
confidence: 99%
“…Neural Network-Based Model Waveform Processing at Transmission and Observation Path [67], [81], [89]- [103] [110]- [120], [122], [123] [67], [75], [82]- [88] DAC and ADC nonidealities [29], [130], [133]- [141] RF Sub-Components Effects [130]- [132], [142], [145] [130], [131] Amplitude-Compensated Phase Shifter [78], [79], [148]- [155], [157], [158] Phase-Compensated and Low-Noise Variable Gain Amplifier [44], [149], [159]- [169] SVM-Based Model better output performance. Since the invention of wireless communication, the linearity of transmitting signals hold paramount importance [73], [74].…”
Section: Baseband Waveform Processing Volterra Series-based Modelmentioning
confidence: 99%
“…However, the massive distributions of IC connections in MIMO systems present unpredictable nonlinearities across the entire TRX subsystems, making it compulsory for the test signals to evade the sine waves offset [130]. In the opposite scenario, the causal dynamic drifts of the supply voltage hinder the desired ACPR and error vector magnitude (EVM) of the modulation signal [140], [141]. This strand emphasizes the importance of potent DPD structures, which should be adaptable to the inevitable dynamic effects and discontinuities of waveform magnitudes in distributed TRX systems.…”
Section: • Critical Analysismentioning
confidence: 99%