摘要翻译：
噪声水平经常在最小信号上设置基本限制。新的降噪技术和放大器的电压噪声密度，但仍然提供高速，高精度，低功耗的解决方案。低噪声放大器一直在射频技术中扮演着重要的角色。因此，本文提出了一种采用级联自偏置多选通晶体管(MGTR)的高线性低噪声放大器(LNA)。建议的系统涵盖0.9至2.4GHz的应用。为了验证所提出的低噪声放大器作为射频技术瓶颈的功能，实现并综合了一种无MGTR级联低噪声放大器。并与单门低噪声放大器进行了比较。综合结果表明，在9dB增益下，与单门LNA相比，所提出的LNA获得了10 dBm的三阶输入截点(IIP3)。所提出的低噪声放大器采用90 nm CMOS工艺，在2 V电源下功耗为7.9 mW,IIP3为13 dBm,NF为1.9 dB,增益为9 dB。
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英文标题：
《High linear low noise amplifier based on self-biasing multiple gated
  transistors》
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作者：
A. Abbasi, N. Sulaiman, Rozita Teymourzadeh
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  Noise level frequently set the basic limit on the smallest signal. New noise reduction technology and amplifiers voltage-noise density, yet still offer high speed, high accuracy, and low power solution. Low noise amplifiers always play a significant role in RF technology. Hence in this paper, high linear low noise amplifier (LNA) using cascade self-biased multiple gated transistors (MGTR) is presented. The proposed system is covering 0.9 to 2.4 GHz applications. To verify the functionality of the proposed LNA as a bottleneck of RF technology, a cascade LNA without MGTR is implemented and synthesized. The comparison has been done with the single-gate LNA. From the synthesized result, proposed LNA obtained 10 dBm third-order input intercept point (IIP3) in compare with single-gate LNA at 9dB gain. The proposed LNA is implemented in 90 nm CMOS technology and reported 13 dBm IIP3, 1.9 dB NF and 9 dB gain while consuming 7.9 mW from 2 V supply.
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PDF链接：
https://arxiv.org/pdf/1807.10306