Nonlinearity estimation in power amplifiers based on subsampled temporal data

In this paper we apply subsampling techniques to capture the temporal input–output relationship of RF power amplifiers. This approach avoids the distortion introduced by the upconverter and downconverter stages. We develop polynomial models with memory from the available data and evaluate their performance by estimating device parameters like adjacent channel power ratio (ACPR) and AM–AM curves. The estimated parameters show good agreement with the empirical ones.