Abstract
This study addresses the ill-conditioning problem of the memory polynomial (MP) model with application to the predistortion of highly non-linear power amplifiers with memory effects. A resource-efficient lattice-based MP structure built using the cascade of a MP generator and a lattice predictor is proposed to overcome the ill-conditioning of the MP's data matrix. The proposed model performances are benchmarked against those of the MP model as well as the orthogonal MP model. The experimental results demonstrate the suitability of the proposed predistorter as it achieves similar performance in the time and the frequency domains compared to the MP counterpart while alleviating its ill-conditioning problem.
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