Metaheuristic algorithms-based approach for optimal design of improvised fully differential amplifier for biomedical applications

摘要

This paper deals with metaheuristic-based approach for optimal solution of improvised amplifier for low power application keeping in special focus on area minimization. It implements a new technique in the circuit design to optimize the amplifier intended for low power low voltage biomedical applications. The methodology establishes the optimum aspect ratios and the biasing currents of the transistors, with reference to the analytical model of the amplifier so as to consider its area as an objective function. Various high-performance meta-heuristic optimization algorithms have been employed to determine the best possible aspect ratios at low computational cost and reduced complexity. A proper evaluation of all these algorithms discloses that the whale optimization algorithm is apt amongst all of them. The optimized parameters are estimated for the optimum area at high convergence speed. These results are cross-verified in contradiction to the simulation results in Cadence SCL 180nm environment. The algorithm sets up the aspect ratios and the biasing parameters of the transistors. This automated method of fixing up the parameters could possibly minimize the computational complexity of the problem and offer an accurate design solution for the amplifiers. These types of circuits are vastly explored in the design of preamplifier circuits of the neural amplifier to treat neuro-diseases like epilepsy, Alzheimer's disease, and many more.