Design and simulation of novel amplifier‐based mixer for ISM band wireless applications

Wang, Chunhua; Sun, Jingru; Du, Sichun

doi:10.1002/cta.2028

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…Non-linear systems present a significant challenge for modeling, analysis, and control because their output cannot be described simply by a linear relationship with the input, and their dynamics may exhibit complex behaviors such as chaos or periodicity. The study of non-linear systems is critical to many fields, including control engineering (Xiao et al, 2017b;Zhou et al, 2022), signal processing (Jin, 2014;Luo and Xie, 2017), dynamics analysis (Tan and Dai, 2016;Tan et al, , 2019aLu et al, 2020), and communication systems (Jin and Yu, 2012;Jin and Fu, 2013;Jin et al, 2015b;Zhao et al, 2020;Xiang et al, 2022), owing to the following properties.…”

Section: Neural Network For Non-linear System Solvingmentioning

confidence: 99%

Advances on intelligent algorithms for scientific computing: an overview

et al. 2023

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The field of computer science has undergone rapid expansion due to the increasing interest in improving system performance. This has resulted in the emergence of advanced techniques, such as neural networks, intelligent systems, optimization algorithms, and optimization strategies. These innovations have created novel opportunities and challenges in various domains. This paper presents a thorough examination of three intelligent methods: neural networks, intelligent systems, and optimization algorithms and strategies. It discusses the fundamental principles and techniques employed in these fields, as well as the recent advancements and future prospects. Additionally, this paper analyzes the advantages and limitations of these intelligent approaches. Ultimately, it serves as a comprehensive summary and overview of these critical and rapidly evolving fields, offering an informative guide for novices and researchers interested in these areas.

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Section: Neural Network For Non-linear System Solvingmentioning

confidence: 99%

Advances on intelligent algorithms for scientific computing: an overview

et al. 2023

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“…Generally, two differentiated LO signals are needed in conventional mixers [13][14][15]. Comparatively, by using the B-type amplifier sub-harmonic balun in Figure 1, there will be only one LO signal required in this mixer.…”

Section: Circuit Descriptionmentioning

confidence: 99%

A linearized and low noise CMOS mixer with B‐type amplifier‐based sub‐harmonic balun

Zhao

Wang

2016

Circuit Theory & Apps

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SUMMARYA low noise and high linearity down-conversion CMOS mixer for 2.4-GHz wireless receiver is presented in this paper. Using a sub-harmonic balun with a simple but effective B-type amplifier, the local oscillator frequency required for this mixer has been reduced by half, and the input local oscillator signal could be singleended rather than differential, which simultaneously simplifies the design of local oscillator. A distortion and noise cancelation transconductor in association with current bleeding technique is employed to improve the noise and linearity of the entire mixer under a reduced bias current without compromising the voltage gain. Fabricated in a 0.18-μm RF CMOS technology of Global Foundries, the mixer demonstrates a voltage gain of 15.8 dB and input-referred third-order intercept point of 6.6 dBm with a noise figure of 2.6 dB. It consumes 7.65 mA from a 1.0-V supply and occupies a compact area of 0.75 × 0.71 mm 2 including all test pads.

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Matching capacitance and transfer efficiency of four wireless power transfer systems via magnetic coupling resonance

Xiao

Wei

Liu

et al. 2016

Circuit Theory & Apps

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Summary Matching capacitance determines the resonance and resonant frequency for a given wireless power transfer (WPT) system. Theoretical solutions for matching capacitance are essential to designing and controlling a coupling system in resonant status and to ensuring that the system operates under high power transfer efficiency. This paper deduced all the analytical expressions of matching capacitance to achieve magnetic resonance for four classical circuitries when considering the coils' resistances. Our results showed that there are several kinds of capacitance matching methods for each circuitry to achieve resonance. Matching capacitances, different from those in the existing literatures, make the system really operate under the magnetic coupling resonance. In literatures, the capacitance at the receiver side compensated only the self‐inductance of the receiver coil and the system except series to series did not operate in the resonance state. Furthermore, the resonance conditions in applications were then given. Accordingly, the expressions of resonant WPT efficiency were presented. These expressions revealed how the underlying factors besides matching capacitance affect the power transfer efficiency, and provided easy access optimizing circuit parameters for high transfer efficiency. Four kinds of circuits were compared through theoretical analysis, calculations and experiments. Experimental results verified the theoretical solutions. Copyright © 2016 John Wiley & Sons, Ltd.

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Design and simulation of novel amplifier‐based mixer for ISM band wireless applications

Cited by 7 publications

References 19 publications

Advances on intelligent algorithms for scientific computing: an overview

Advances on intelligent algorithms for scientific computing: an overview

A linearized and low noise CMOS mixer with B‐type amplifier‐based sub‐harmonic balun

Matching capacitance and transfer efficiency of four wireless power transfer systems via magnetic coupling resonance

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