Monitoring Analog Circuit Performance using Adaptive Filters and RSM-based Behavioral Models

Abstract:
This paper presents a concept for monitoring the performance of an analog circuit by using adaptive filters in combination with behavioral models. Digital calibration techniques based on adaptive filters are applied to monitor the circuit performance. The reference signal representing the ideal errorfree circuit performance required by the filter is provided by a behavioral model based on Response Surface Modeling (RSM). Comparing the output signal of the circuit to the ideal reference signal results in a number of filter coefficients that are used to estimate the circuit performance. The shift of the filter coefficients over time is used to monitor the degradation of performance caused by aging. The monitoring approach is analyzed on a simulative basis with an amplifier in a 28nm process.