2020
DOI: 10.1002/jnm.2724
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Design of a tunable LNA and its variability analysis through surrogate modeling

Abstract: In this paper, a tunable low noise amplifier (LNA), which provides a bandwidth of 1 GHz, has been designed. The tunability of the LNA has been achieved by employing MOS varactors in accumulation mode. A shift in the LNA performance has been observed with the change in the total capacitance of the varactors through the control voltage. Starting from 2 to 3 GHz, the proposed tunable LNA provides a noise figure (NF) of less than 3 dB, a voltage gain of 12 dB and higher, while maintaining input and output power ma… Show more

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Cited by 12 publications
(7 citation statements)
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“…Functional surrogate modeling techniques are functions for predicting the output responses of designs, and are generally applied for modeling the microwave components due to the fast simulation in high-level circuit designs [20][21][22][23][24]. These techniques aim to solve the problems of multi-objective functions lead to finding the optimal responses [25].…”
Section: Functional Surrogate Modelingmentioning
confidence: 99%
“…Functional surrogate modeling techniques are functions for predicting the output responses of designs, and are generally applied for modeling the microwave components due to the fast simulation in high-level circuit designs [20][21][22][23][24]. These techniques aim to solve the problems of multi-objective functions lead to finding the optimal responses [25].…”
Section: Functional Surrogate Modelingmentioning
confidence: 99%
“…It should also provide good gain. One of the methods to provide tunablity is by using a MOS varactor in accumulation mode as shown in [1]. In this work, the inductively degenerated CS LNA has been redesign for the application of sub-GHz frequency range i.e., up to 5 GHz.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the electromagnetic (EM) simulation is very time-consuming when evaluating the candidate design solutions, and it occupies the majority of the time for the whole optimization. For this reason, in some mm-wave ICs synthesis methods, surrogate modeling methods such as gaussian process, 19,20 kriging metamodeling, 21 radial basis function substitution model, 22 artificial neural networks 23 and others [24][25][26][27][28][29] have been proposed to reduce the high computational cost of EM simulation. In these methods, some EM simulations in local search are replaced by building and updating surrogate models.…”
Section: Introductionmentioning
confidence: 99%