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A digital finite impulse response (FIR) filter design is fully synthesizable,thanks to the mature CAD support of digital circuitry. On the contrary, analogmixed-signal (AMS) filter design is mostly a manual process, includingarchitecture selection, schematic design, and layout. This work presents asystematic design methodology to automate AMS FIR filter design using a timeapproximation architecture without any tunable passive component, such asswitched capacitor or resistor. It not only enhances the flexibility of thefilter but also facilitates design automation with reduced analog complexity.The proposed design flow features a hybrid approximation scheme thatautomatically optimize the filter's impulse response in light of timequantization effects, which shows significant performance improvement withminimum designer's efforts in the loop. Additionally, a layout-aware regressionmodel based on an artificial neural network (ANN), in combination withgradient-based search algorithm, is used to automate and expedite the filterdesign. With the proposed framework, we demonstrate rapid synthesis of AMS FIRfilters in 65nm process from specification to layout.

TAFA: Design Automation of Analog Mixed-Signal FIR Filters Using Time Approximation Architecture