A new approach for nonlinear metric estimation of limit cycle amplifiers

Limit cycle amplifiers are promising solutions to combine high linearity and efficiency, thanks to the efficient switch mode amplifier inside. Therefore an insightful and efficient analysis method is required for these systems. In this paper, a novel Hermite series based statistical approach for nonlinear analysis of the limit cycle amplifier system with real Gaussian excitation is presented. The proposed algorithm gives both in-band and out of band nonlinear distortions through them same approach. The approach is applied to an 802.11 g OFDM signal to calculate EVM, ACPR and output power. The method is validated by good agreement between the extracted results and ADS circuit envelope results.