Design and analysis of CMOS RF receiver front-end of LNA for wireless applications

Mudavath, Mahesh; Kishore, K. Hari; Hussain, Azham; Boopathi, C. S.

doi:10.1016/j.micpro.2020.102999

Cited by 16 publications

(8 citation statements)

References 9 publications

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“…Mudavath et al 26 had introduced a design model of two‐stage LNA and CMOS RF receiver front‐end with the optimization of single stage for wireless applications. In 45 nm CMOS technology, low noise, high gain, and superior linearity for 3 to 10 GHz ultra wideband (UWB) wireless applications were obtained.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is challenging to forecast high-frequency parasitic characteristics and effectively model active, passive components in circuit simulation at frequencies above 20 GHz in a two-stage cascade LNA architecture. Radar vehicular sensor (22)(23)(24)(25)(26)(27)(28)(29), military radar (35-37 GHz), radio astronomy , Industrial Scientific and Medical band (24.05-24.25 GHz), LMDS (31 GHz), and cloud radar are among the frequency spectrum allocations for various uses. 14 For mm-Wave applications, a wide-band LNA with a 2.4 GHz range is used.…”

Section: Introductionmentioning

confidence: 99%

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Low noise amplifier design with enhanced noise and gain performance using transformer boosting method for millimeter‐wave applications

Agarwal

Gupta

Kumar

2022

Trans Emerging Tel Tech

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In low noise amplifier (LNA) design, achieving minimum noise figure (NF) and enhanced gain is equally important in the field of communication. The major aim of this design with previous methods are those having implemented in the topology of design like metal oxide semiconductor field effect transistor at common source connection topology, pole‐based transformer boosting, and dual feedback technique. However, these methods fail to reach the desired performance due to their low NF and low gain. In order to overcome these failures and their causes, this article presented a topology in LNA design using a transformer as boosting component to improve the performance of NF and gain for millimeter‐wave applications. It has three common gate stages connected in cascode form, and three transformers are acquired to link the drain to the input signal. Transformers permit radio frequency feeding signal from drain to source, and output from the previous stage is connected to the input of the next stage. This connection increases the gain of the circuit and an enlarged coupling coefficient of value “1,” which minimizes noise. The unilateral coefficient remains to be 1, to make the circuit stable throughout execution. NF value can be minimized by properly selecting conductance coefficient and S‐parameter values. Since the transformer is used to provide feedback in this circuit, stability condition has to be analyzed carefully. Output load value is selected optimum as it creates an impact on the stability of LNA. This topology implemented in LNA design helps to increase the gain by boosting the signal input, and hence, in turn, it increases overall gain performance. Similarly, while executing this optimal LNA design using transformer boosting technique in CADENCE software, this LNA exhibits a minimum NF of 3 dB at 30 GHz and power gain of 12.2 dB at 50 GHz in measurement. Comparatively, the proposed LNA design overruns conventional methods and consumes a power supply of 1.1 V.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low noise amplifier design with enhanced noise and gain performance using transformer boosting method for millimeter‐wave applications

Agarwal

Gupta

Kumar

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…The idea behind DL is, today, more powerful computers are available at affordable cost which can train large ANN or DL within feasible time. The reason it is called "Deep" is that it uses a greedy algorithm that learns through many-layered networks [26,27]. DL was used with "Rectifier" as activation function which is used by the neurons in the hidden layers.…”

Section: Classifiersmentioning

confidence: 99%

A Comparison of Machine Learning Techniques for Sentiment Analysis

Qaiser¹

2021

TURCOMAT

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The availability of the data has increased tremendously due to the excess usage of social media platforms like Twitter and Facebook. Due to the abundant availability of data, scientists, businesses, educationalists and other people working under different roles have started using Sentiment Analysis (SA) to get in-depth knowledge about the sentiments of the people regarding any topic of interest. There are many techniques to implement SA, and one of them is Machine Learning (ML). This study is focused on the comparison of ancient ML methods such as Naïve Bayes (NB), Decision Tree (DT), Support Vector Machine (SVM), and a modern method, i.e., Deep Learning (DL). The ML techniques are applied to a single dataset to compare their performance in terms of accuracy to understand how they perform against each other. The study found that DL performed the best with 96.41% accuracy followed by NB and SVM with 87.18% and 82.05% respectively. DT performed the poorest with 68.21% accuracy.

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“…To maintain input-output matching network, the special LNA design is required. The authors [20] have designed LNA to achieve high gain in addition low noise figure which presented in Figure 5.…”

Section: Design Of Lna Amplifier For Radio Frequencymentioning

confidence: 99%

An Extensive Review On: Low Noise Amplifier for Millimeter and Radio Frequency Waves

2021

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In today’s world, radio receiver system is a prevailing wireless technology in that the major part is Low Noise Amplifier (LNA) which widely used to improve weak signals in many applications with millimeter and radio frequency waves such as optical communication, multimode transceivers and measurement instrumentations. The real drawbacks of LNA is that it fails to maintain specific properties in critical conditions like as minimum power consumption, provide low noise figure, input matching and linearity. Additionally, promoted by various application demands, design methods and control methods must require to improve performance of LNA. The performance of LNA can be improved by adding extra components in basic circuit by proper arrangement for millimeter and radio frequency waves. The review paper provides information about design methodology, optimization techniques and control techniques. The different design of LNA is reviewed and analyzed such as 3-stage near-mm Wave LNA, 5-stage near-mm Wave LNA, common-gate amplifier, shunt-feedback amplifier, Resistor-terminated common-source amplifier, Traditional inductor-less amplifiers, cascode connection and double common source. This review paper also provides the information about design circuit diagram. The performance improvement of LNA can be achieved with the help of different techniques and our review based on optimization and control techniques with parameter tuning. Finally, the direction for the future study is presented based on review analysis of LNA.

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Design and analysis of CMOS RF receiver front-end of LNA for wireless applications

Cited by 16 publications

References 9 publications

Low noise amplifier design with enhanced noise and gain performance using transformer boosting method for millimeter‐wave applications

Low noise amplifier design with enhanced noise and gain performance using transformer boosting method for millimeter‐wave applications

A Comparison of Machine Learning Techniques for Sentiment Analysis

An Extensive Review On: Low Noise Amplifier for Millimeter and Radio Frequency Waves

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