Design and optimization of narrow band low noise amplifier using 0.18µm CMOS

Hasmukh P. Koringa, V. Shah
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引用次数: 3

Abstract

In this paper, an optimized design procedure based on evolutionary algorithms for automatic synthesis of a current reuse cascode fully integrated low noise amplifiers (LNA) targeted @2.4GHz is discussed. Here genetic Algorithm is intended to compute the circuit elements values and bias levels capable of maintaining the best level of gain, input matching, and power consumption. The circuit simulate using 0.18μm RF CMOS TSMC technology for to evaluate performance. Automatic circuit design using evolutionary optimization algorithm optimized design taking less computation time compare to tremendous manual trial. The Simulation results show the power gain (S21) and input matching (S11) are 26dB and -13dB respectively @2.4GHz. Simulation results demonstrate output reflection (S12) is less than -35dB and current sink form 1.8V supply is only 5.6mA.
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0.18µm CMOS窄带低噪声放大器的设计与优化
本文讨论了一种基于进化算法的电流复用级联码全集成低噪声放大器(LNA)自动合成优化设计过程。这里遗传算法的目的是计算电路元件的值和偏置水平能够维持最佳水平的增益,输入匹配,和功耗。电路采用0.18μm RF CMOS TSMC技术进行仿真,以评估其性能。采用进化优化算法的自动电路设计与大量的人工试验相比,优化设计所需的计算时间更少。仿真结果表明,在2.4 ghz时,功率增益(S21)和输入匹配(S11)分别为26dB和-13dB。仿真结果表明,输出反射(S12)小于-35dB, 1.8V电源的电流吸收仅为5.6mA。
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