Regression based circuit matrix models for accurate performance estimation of analog circuits

Automated analog circuit synthesis techniques depend on fast and reliable estimation of circuit performance. This paper presents a highly accurate method of estimating performances by constructing models of the circuit matrix instead of the traditionally used performance models. Device matching in analog circuits is utilized to identify identical elements in the circuit matrix and reduce the number of elements to be modeled. Experiments conducted on three operational amplifier topologies demonstrate the effectiveness of the method in achieving correct performance prediction. Results show that the performances can be predicted within a mean error of 0.1% compared to a SPICE simulation.