The requirements of emerging communication systems for greater bandwidth and higher data rates is driving the need for increased linearity and efficiency in RF transmitters.
Power Amplifiers (PA) are a critical component in wireless technology for achieving this mandatory performance. Accurate RF power amplifier models are required in the study and development of adaptive linearization techniques, such as Digital Pre-Distortion (DPD).
In this presentation, you will learn how to model RF power amplifiers using measurement data including non-linear and memory effects. We will explore trade-offs and white-box fitting techniques to increase PA model performance. This improved PA model is then used to develop and analyze different adaptive DPD implementations for expanding transmitter performance by leveraging smart digital signal processing algorithms.
Last, we will implement the DPD algorithm using integer arithmetic, generate HDL code, and prototype the algorithm on a FPGA. With this approach, you can develop and test linearization algorithms before going to the lab, and rapidly prototype your ideas.