Digital Predistortion (DPD) is widely used to improve signal quality in wideband RF power amplifiers.
DeltaDPD is introduced to address energy efficiency challenges faced by DPD, utilizing dynamic temporal sparsity in recurrent neural networks.
DeltaDPD reduces computational complexity, arithmetic operations, and memory accesses while maintaining good linearization performance.
In testing with a 3.5 GHz GaN Doherty RF PA, DeltaDPD achieved significant improvements in ACPR, NMSE, and EVM metrics with a 1.8X reduction in estimated inference power.