基于粒子群算法的低噪声放大器设计
Design of Low Noise Amplifiers Using Particle Swarm Optimization
摘要：
本文介绍了一种基于粒子群优化（PSO）技术的低噪声微波放大器设计方法。粒子群优化被用作应用于单级放大器电路的方法，以满足两个标准：期望的增益和期望的低噪声。目的是使用增益和低噪声值的预定义约束来获得最佳优化设计。编写代码以应用该算法来满足预期目标，并使用不同的模拟器验证所获得的结果。结果表明，粒子群算法可以非常有效地应用于这类多约束的设计问题。
英文摘要：
This short paper presents a work on the design of low noise microwave amplifiers using particle swarm optimization (PSO) technique. Particle Swarm Optimization is used as a method that is applied to a single stage amplifier circuit to meet two criteria: desired gain and desired low noise. The aim is to get the best optimized design using the predefined constraints for gain and low noise values. The code is written to apply the algorithm to meet the desired goals and the obtained results are verified using different simulators. The results obtained show that PSO can be applied very efficiently for this kind of design problems with multiple constraints.
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