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US 2026/0095199 A1Published application
Pre-distorter for compensating power amplifier non-linearities
AssigneeNokia Solutions and Networks Oy
InventorArne FISCHER-BUHNER
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Abstract
According to an aspect, an apparatus may comprise a digital pre-distorter, DPD, circuitry including at least one first-order infinite impulse response, IIR, filter and at least one second-order IIR filter. The apparatus may further comprise a power amplifier, at least one processor and at least one memory comprising instructions which, when executed by the at least one processor, cause the apparatus at least to compensate for non-linearities in the power amplifier by using the at least one first-order IIR filter and the at least one second-order IIR filter.
Claims15
An apparatus comprising:
- a digital pre-distorter, DPD, circuitry, comprising a plurality of filters including at least one first-order infinite impulse response, IIR, filter and at least one second-order IIR filter;
- a power amplifier;
- at least one processor;
- and
- at least one memory comprising instructions which, when executed by the at least one processor, cause the apparatus at least to:
- compensate for non-linearities in the power amplifier by using the at least one first-order IIR filter and the at least one second-order IIR filter.
3 more elements
A method, comprising:
- obtaining a feedback signal of a transmitter output, the transmitter comprising:
- at least a digital pre-distorter, DPD, circuitry comprising one or more first-order infinite impulse response, IIR, filters and one or more second-order IIR filters;
- and
- at least one power amplifier;
- aligning a time of an input signal and a time of the feedback signal, wherein the input signal is an input signal of a DPD model comprising at least the DPD circuitry;
- determining a gain based on the input signal and the feedback signal of the power amplifier;
- determining if a minimum linearity requirement for the determined gain is met;
- determining if the machine-learning model needs to be adapted based on if the minimum linearity requirement for the determined gain is met;
- obtaining, from the machine-learning model, coefficients for the plurality of filters;
- and
- adapting the obtained coefficients to the DPD circuitry based on the determining if the machine-learning model needs to be adapted.
8 more elements
Dependencies are inferred from the claim text.