Understanding the Effect of Long-Term Memory Model Parameters in Pole-Zero Identification for Stability Analysis of Power Amplifiers

Understanding the nature of potential instabilities is indispensable for the stabilization of power amplifiers (PAs). Pole-zero identification is one of the techniques that can be used to determine the stability of a design in large-signal operations. In this work, the possible presence of poles at the fundamental frequency linked to the long-term memory parameters of the transistor’s model (self-heating and traps) is presented and discussed. This article shows how their effect on the identified frequency responses around the fundamental frequency may compromise the stability analysis results and the assessment of stability margins. The low observability of the poles at the fundamental frequency highlights the importance of an accurate identification of real poles in low-frequency bands. A specific algorithm for the automatic frequency domain identification of non-resonant frequency responses and a procedure for detecting and reducing overfitting of real poles is proposed in this article. The benefits of the proposed methodology to correctly detect and analyze real poles at low frequencies is demonstrated through Monte-Carlo (MC) sensitivity analyses of two different amplifier designs.