**4. Approach for ground-based satellite system operational environment prediction (OEP)**

The team proposes two approaches for predicting the operating environment, namely (i) OEP 1—deterministic environmental prediction and (ii) OEP 2—Bayesian environmental prediction. The goal here is to predict the operating conditions, including HPA's temperature and IPBO, based on the measured EbNo and BER values observed by the receiver and pass the results to the MORL-ANN pre-distorter (PD) for training and predicting the amount of AM-AM/AM-PM distortions and compensation.


#### **Figure 3.**

*Generating training data: (a) satellite TXDER parameter setting, (b) E2E BER for fast FH as a function of bit signal-to-noise ratio (EbNo) with satellite system temperature and IPBO as parameters.*
