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Low noise amplifier with resistive and capacitive feedback for 2.4 GHz RF receiver front end

机译:低噪声放大器,具有电阻和电容反馈2.4 GHz RF接收器前端

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摘要

Low Noise Amplifier (LNA) is the front end block in RF receiver that improves the performance of wideband receivers. These receivers need LNA with high linearity to protect its signals from out-of-band interferences. Linearization is a key factor in LNA that maintains linear operation in the presence of large distracting signals. Existing techniques in LNA design are optimum gate biasing, MGTR, body biasing, noise cancellation, feed forward, derivative superposition, and modified DS technique. The key challenge of RF LNA circuit is to attain high gain and better noise performance with low power consumption without affecting linearity of LNA. This paper presents several linearization methods used in CMOS LNA. These are (1) post distortion, (2) capacitive feedback, (3) resistive feedback, and (4) current reuse technique. We also propose a new method for LNA with resistive and capacitive feedback. In this paper, different LNA circuits and proposed LNA are simulated using 90 nm CMOS technology. Reuse of bias current and two stage coupling by single current source approach in the proposed current reuse LNA with resistive (R) and capacitive (C) feedback yields better gain of 15.2 dB, noise figure of 2.17 dB and power consumption of 7.1 mW with respect to other techniques. The outputs obtained are compared with other similar works. These results validate that the proposed LNA is practically feasible for wireless sensor network applications.
机译:低噪声放大器(LNA)是RF接收器中的前端块,可提高宽带接收器的性能。这些接收器需要具有高线性度的LNA来保护其信号免受带外干扰。线性化是LNA中的关键因素,其在大量分散注意力存在下保持线性操作。 LNA设计中的现有技术是最佳栅极偏置,MGTR,体偏置,噪声消除,馈送前进,衍生叠加和改进的DS技术。 RF LNA电路的关键挑战是在不影响LNA线性的情况下实现高增益和更好的噪声性能。本文介绍了CMOS LNA中使用的几种线性化方法。这些是(1)后失真,(2)电容反馈,(3)电阻反馈,(4)电流重复使用技术。我们还提出了一种具有电阻和电容反馈的LNA的新方法。在本文中,使用90nm CMOS技术模拟不同的LNA电路和所提出的LNA。在具有电阻(R)的所提出的电流重用LNA中,通过单电流源方法重复使用偏置电流和两个阶段耦合,电容(C)反馈产生15.2dB的更好增益,噪声系数为2.17 dB和7.1mW的功耗到其他技巧。获得的输出与其他类似的作品进行比较。这些结果验证了所提出的LNA实际上可用于无线传感器网络应用。

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