Digital signal processing of communication signals with Python: DPD

This paper demonstrates the opportunities that the new AI sprovide for DPD (Digital Predistortion) in RFPA. The project is established on the AD9361 Test bench which was programmed and simulated using MATLAB. For execution in the test bed and evaluation of the performance of DPD, it contains 3 main codes.Our work included the development of a python code which was executed simultaneously with this MATLAB and the results are compared within both interfaces. Digital Predistortion includes a part with memory and one without memory. The project we are working with has three steps, (i)Base band IQ signal x BB generation (ii)TX:Delivery of x BB toa transmitter TX(true or simulated)(iii)RX:BasebandsignalyBBcollection.Afterthedeliverytothetransmitter(onesimilartotheAD9361one),thehardwareprocessesthesignalby, a) Up conversion to Radiofrequency, b) AmplificationusingPowerAmplifierand c) Dispatching to an antenna. In the third step, the band signaly BB coincides with one that by the down conversion of the radiofrequency signal was received in AD9361. The eminent part of this project was the python script that we designed to observe how the DPD processes within the changed environment. Rudimentarily,some complications arose but wecould overcome the mand the final result resembled the outcomes from MATLAB.This project proposes the following aspects: 1. Sophisticated AI development for DPD. 2. Simpler algorithm design to test DPD in PA. 3. A full proof design of DPD to reduce PA energyconsumption. 4.Participate in universal global warming reduction by increasing overall energy efficiency as stated in the preceding proposal