Optimization of LNA’s first stage to reduce overall noise figure in multi-stage LNAs

Sabzi, Masoumeh; Kamarei, Mahmoud; Razban, Tchanguiz; Mahé, Yann

doi:10.1016/j.aeue.2020.153300

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…Designing wideband matching networks is an intricate and sophisticated process, and may be either carried out by synthesis method or computer optimizations. 1 According to the literature, there are three major solutions to realize wideband matching networks 2,3 : (1) gain (S 21 ) compensation by creating mismatch in the input-output, [4][5][6][7][8][9][10][11][12] (2) balanced amplifier method, [13][14][15][16] and (3) negative feed-back. [17][18][19][20][21][22][23] Each of these methods has advantages and disadvantages over one another, and microwave engineer should carefully consider the consistency between performance and application before design process.…”

Section: Introductionmentioning

confidence: 99%

“…According to the literature, there are three major solutions to realize wideband matching networks 2,3 : (1) gain ( S 21 ) compensation by creating mismatch in the input–output, 4–12 (2) balanced amplifier method, 13–16 and (3) negative feed‐back 17–23 . Each of these methods has advantages and disadvantages over one another, and microwave engineer should carefully consider the consistency between performance and application before design process.…”

Section: Introductionmentioning

confidence: 99%

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Design of compact highly matched broadband balanced low‐noise amplifier at X‐band using CRLH transmission lines

Mojtaba

Hoseini

Zaker

2022

Int J RF Mic Comp-Aid Eng

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This article presents broadband balanced low‐noise amplifier (LNA) operating at X‐band, which uses composite right/left‐handed (CRLH) transmission lines as input–output matching networks. Proposed LNA eliminates lumped DC‐blocking capacitors and is combined with a hybrid coupler to achieve better stability and matching. Presented CRLH matching technique enhances the matching quality, reduces the overall size and considerably improves the bandwidth and noise performance. The matrix analysis of the CRLH structure is provided to determine the exact dimension of microstrip lines for the highest stable gain and the lowest noise figure (NF). The LNA structure uses a HJFET technology as an active device, which is simulated using an ADS momentum and small‐signal scattering parameters provided by the manufacturer. This LNA offers an improved impedance matching and measured the 20 dB S11 band‐width of 16% (8.3–9.7GHz), which is in good agreement with simulation. Total area occupied by the fabricated LNA is only 1.7λ0×0.9λ0@ 8.3GHz. The LNA also provides <1.8 dB NF based on the IEEE standard temperature (16.85 Celsius), and 1 dB gain flatness throughout the entire band along with a 1 dB compression point of −1 dBm and an output third point intercept point of 19.5 dBm. The proposed CRLH‐based LNA can be a good candidate for compact receivers and sensors.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of compact highly matched broadband balanced low‐noise amplifier at X‐band using CRLH transmission lines

Mojtaba

Hoseini

Zaker

2022

Int J RF Mic Comp-Aid Eng

View full text Add to dashboard Cite

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“…Noise performance is improved by minimizing the body leakage by employing a diode‐connected MOSFET forward bias. Sabzi et al 16 demonstrated the reduction in overall NF in multistage LNAs by optimization of the first stage along with improvement in gain and input matching.…”

Section: Introductionmentioning

confidence: 99%

Design ofGaN‐basedX‐band LNAsto achieve sub‐1.2 dBnoise figure

Zafar

Aras

Akoglu

et al. 2022

Int J RF Mic Comp-Aid Eng

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GaAs and SiGe technologies take an edge over GaN-based devices in terms of better noise figure (NF). In this article, we present HEMT topologies and design techniques to achieve a sub-1.2 dB NF for a GaN-based X-band lownoise amplifier (LNA). This NF is comparable with state-of-the-art reported works in competitive GaAs and SiGe technologies. Moreover, this is the best reported NF in X-band using GaN technology to date. Two LNAs are fabricated using in-house 0.15 μm AlGaN/GaN on the SiC HEMT process. LNA-1 has inductive source degenerated (ISD) HEMTs at both stages, while LNA-2 has ISD HEMT at the first and common source at the second stage. The significance of ISD HEMT, for the first or subsequent stages in a multi-stage design, towards NF improvement is addressed. The criticality of stability networks towards NF contribution and its design is discussed in detail. Furthermore, even-mode stability of each HEMT after complete LNA design is assured using the S-probe method in Pathwave Advanced Design Systems.

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“…The used validation methods and training processes in this paper are well-known methods in most modeling and optimization problems, which have been used in many studies [110][111][112][113][114][115]. In several studies [116][117][118][119][120][121][122][123][124][125], different mathematical methods such as feature extraction, feature reduction, feature selection, correlation analysis, and numerical calculation, etc., have been used.…”

mentioning

confidence: 99%

Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems

et al. 2022

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In the current paper, a novel technique is represented to control the liquid petrochemical and petroleum products passing through a transmitting pipe. A simulation setup, including an X-ray tube, a detector, and a pipe, was conducted by Monte Carlo N Particle-X version (MCNPX) code to examine a two-by-two mixture of four diverse petroleum products (ethylene glycol, crude oil, gasoline, and gasoil) in various volumetric ratios. As the feature extraction system, twelve time characteristics were extracted from the received signal, and the most effective ones were selected using correlation analysis to present reasonable inputs for neural network training. Three Multilayers perceptron (MLP) neural networks were applied to indicate the volume ratio of three kinds of petroleum products, and the volume ratio of the fourth product can be feasibly achieved through the results of the three aforementioned networks. In this study, increasing accuracy was placed on the agenda, and an RMSE < 1.21 indicates this high accuracy. Increasing the accuracy of predicting volume ratio, which is due to the use of appropriate characteristics as the neural network input, is the most important innovation in this study, which is why the proposed system can be used as an efficient method in the oil industry.

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Optimization of LNA’s first stage to reduce overall noise figure in multi-stage LNAs

Cited by 7 publications

References 24 publications

Design of compact highly matched broadband balanced low‐noise amplifier at X‐band using CRLH transmission lines

Design of compact highly matched broadband balanced low‐noise amplifier at X‐band using CRLH transmission lines

Design ofGaN‐basedX‐band LNAsto achieve sub‐1.2 dBnoise figure

Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems

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