Mos Amplifier Design Methodology For Optimum Performance

While trying to represent the performance metrics of a single-stage amplifier as a function of designable parameters, it is observed that the corresponding metrics form a polytope-type feasible region. Indeed, the polytope so formed is made up of performance metrics which can either be objectives or constraints. Initially, the simplex method is used to obtain an objective value that satisfies a set of constraints. Once the objective is available, the interior point-based method is used to check whether any objective lies inside the feasible region or not. The proposed design flow examines both the periphery and the interior of the polytope so generated. Henceforth, the design of an amplifier can be pointed out to be a distinctive type of optimization concern, called Nonlinear Programming (NLP). Furthermore, efficient global optimization methods have been established to yield an automated synthesis of amplifiers derived from the requirements. In this work, the formulation of the design problem for a cascode amplifier as NLP is described and analyzed. Thereafter, the optimal trade-off curves related to the performance metrics such as small signal gain (Av), unity gain frequency (UGF) or gain bandwidth product (GBWP), and power are derived in order to observe the corresponding dependencies.