Digital predistortion in varying operating conditions

A linearization system to perform digital predistortion, the system comprising:

• a transmit chain that includes at least one power amplifier that produces output with non-linear distortions;
• and
• a digital predistorter comprising an adaptation section and a compensator, the digital predistorter configured to:
• collect data comprising data records, with each data record including input signal data and corresponding output signal data for the transmit chain and further being associated with a set of operating conditions values, wherein the each data record is associated with a variety measure representative of an extent of distinguishability of the respective data record from other collected data records;
• compute, for the each data record, the variety measure based on a distance metric representative of distances between data elements of a particular data record, to respective data elements for at least some of the collected data records;
• select at least some of the data records according to a variety criterion computed based on the variety measure for the each data record;
• compute, based on the selected at least some of the data records, digital predistortion parameters used to control the digital predistorter;
• and
• digitally predistort, according to the computed digital predistortion parameters, subsequent input signals.

A non-transitory machine-readable medium storing a design structure comprising elements that, when processed in a computer-aided design system, generate a machine-executable representation of a linearization system that is used to fabricate hardware comprising:

• a transmit chain circuit that includes at least one power amplifier that produces output with non-linear distortions;
• and
• a digital predistorter circuit comprising an adaptation section and a compensator, the digital predistorter circuit configured to:
• collect data comprising data records, with each data record including input signal data and corresponding output signal data for the transmit chain and further being associated with a set of operating conditions values, wherein the each data record is associated with a variety measure representative of an extent of distinguishability of the respective data record from other collected data records;
• compute, for the each data record, the variety measure based on a distance metric representative of distances between data elements of a particular data record, to respective data elements for at least some of the collected data records;
• select at least some of the data records according to a variety criterion computed based on the variety measure for the each data record;
• compute, based on the selected at least some of the data records, digital predistortion parameters used to control the digital predistorter circuit;
• and
• digitally predistort, according to the computed digital predistortion parameters, subsequent input signals.

A method for digital predistortion comprising:

• collecting data for a wireless device comprising a transmit chain that includes at least one power amplifier that produces output with non-linear distortions, the data comprises data records with each data record including input signal data and corresponding output signal data for the transmit chain and further being associated with a set of operating conditions values, wherein the each data record is associated with a variety measure representative of an extent of distinguishability of the respective data record from other collected data records;
• selecting at least some of the data records according to a variety criterion computed based on the variety measure for the each data record;
• computing, based on the selected at least some of the data records, digital predistortion parameters used to control a digital predistorter of the wireless device;
• applying the digital predistorter, configured with the computed digital predistortion parameters, to subsequent input signals;
• collecting additional data records;
• storing a particular one of the collected additional data records in a records data structure in response to a determination that a variety measure computed for the particular one of the collected additional data records is more distinguishable, relative to previously stored data records available at the records data structure, than one of the previously stored data records;
• and
• re-computing, at regular or irregular intervals, the digital predistortion parameters based on the stored data samples available in the records data structure, including the stored particular one of the collected additional data records.

A linearization system to perform digital predistortion, the system comprising:

• a transmit chain that includes at least one power amplifier that produces output with non-linear distortions;
• and
• a digital predistorter comprising an adaptation section and a compensator, the digital predistorter configured to:
• collect data comprising data records, with each data record including input signal data and corresponding output signal data for the transmit chain and further being associated with a set of operating conditions values, wherein the each data record is associated with a variety measure representative of an extent of distinguishability of the respective data record from other collected data records;
• select at least some of the data records according to a variety criterion computed based on the variety measure for the each data record;
• compute, based on the selected at least some of the data records, digital predistortion parameters used to control the digital predistorter;
• digitally predistort, according to the computed digital predistortion parameters, subsequent input signals;
• collect additional data records;
• store a particular one of the collected additional data records in a records data structure in response to a determination that a variety measure computed for the particular one of the collected additional data records is more distinguishable, relative to previously stored data records available at the records data structure, than one of the previously stored data records;
• and
• re-compute, at regular or irregular intervals, the digital predistortion parameters based on the stored data samples available in the records data structure, including the stored particular one of the collected additional data records.