An Adaptive Weighted Bisection Algorithm based End-to-End Automatic Design Scheme for Wideband Low-Noise Amplifiers

This paper proposes an end-to-end automatic design scheme for wideband low-noise amplifiers (LNAs), saving time-consuming manual optimization in conventional design methods. The proposed scheme employs the knowledge based look-up table (LUT) for topology determination, the transconductance-to-current ratio (gm/ID) method for active component optimization, the particle swarm optimization (PSO) algorithm for passive component parameter optimization, the adaptive weighted bisection (AWB) algorithm for physical parameter determination, and the A* algorithm based automatic placement and routing (P&R) module for automatic layout generation. To validate the proposed scheme, a four-stage LNA operating at 8–18 GHz is designed using this scheme, achieving a <3.0-dB in-band gain ripple, a <−10.0-dB S11, a <3.9-dB noise figure (NF), and a 36.8-mW power consumption in post-layout simulation. The entire design process consumes about 26 hours, significantly reducing design time compared to manual approaches, which also demonstrates an alternative scalable and efficient design scheme for RFIC.