Accelerated simulation of complex waveforms in nonlinear amplifiers with memory
We present a framework for efficient, physics-based computer simulation of complex time-dependent waveforms (i.e. wide-band, with large number of frequency components) in nonlinear amplifiers with memory. It is built upon a well established pseudo-spectral, multi-frequency, large-signal code and relies on an adaptive algorithm for signal splitting and splicing in the time domain. Included in the model, and calculated from first-principles, are memory effects, such as dispersion and wave reflections. We validate our approach on such complex waveforms by operating the simulation kernel in the large-signal, nonlinear regime and comparing against the output of the benchmarked serial version.