Improving the Performance of Analog Integrated Circuits using Multi-Objective Metaheuristic Algorith

Authors: Najmeh Sayyadi Shahraki; Ali Mohammadi; Sadegh Mohammadi-Esfahrood; Seyed Hamid Zahiri

Abstract:

Low-Noise Amplifier (LNA) is the first critical component and an important part of the analog integrated systems and wireless communication technology. LNA plays a key role in the design of Radio Frequency (RF) circuits. High voltage gain, low power consumption, high bandwidth and low Noise Figure (NF) are among the most prominent characteristics of LNAs. In this paper, in order to establish an appropriate tradeoff between circuit contradictory objectives and overcoming the design problem of an efficient LNA, the approach is focused on utilizing metaheuristic optimization methods for elements intelligent sizing and circuit automatic design. For this purpose, the Computer-Aided Design (CAD) tool based on the new and powerful version of Multi-Objective Gray Wolf Optimization (MOGWO) has been used. Implementation of algorithms in Matlab and circuit simulations in Hspice has done. Simulation results, in contrast to other research, not only meet the design specifications, but also provide a variety of solutions under the "Pareto-optimality", which allows designers to have more design options. Also, the evaluations indicate the close competition between the proposed method and other commonly used methods.

Published in: 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)

Date Added to IEEE Xplore: 13 June 2019

DOI: 10.1109/KBEI.2019.8735091

Publisher: IEEE