文章基本信息

标题：A simulation-based optimization of low noise amplifier design using PSO algorithm
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作者：Roohollah Nakhaei ; Peyman Almasinejad ; Mohammad Zahabi 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2016
卷号：16
期号：5
页码：45-49
出版社：International Journal of Computer Science and Network Security
摘要：In this paper we propose a particle swarm optimization based approach for designing CMOS low noise amplifier (LNA). Existence of tradeoffs between noise, gain, linearity, stability and power consumption in LNA design, forces the designer to accomplish such a long time complicated work to optimize the circuit. So the utilization of a modern optimization is inevitable. In this work the usage of PSO algorithm in LNA circuit design optimization has been investigated. The performance of LNA circuit is evaluated through HSPICE and PSO algorithm is implemented in MATLAB, so a combination of MATLAB and HSPICE is performed. A cascode LNA is designed using 0.18?m CMOS technology foe near 2.4 GHz band applications. The results of this work indicate the effectiveness of this optimization approach that is a time saver method.
关键词：LNA; PSO; optimization; CMOS.