← 返回 JSSC 论文列表JSSC 2009第11期RF & Wireless0.13μmLNANeural Network Accelerator
A 24-GHz Resistive Feedback LNA in 013-22m CMOS Sanghoon Joo Student Member IEE
提出了一种基于串联电感匹配网络的电阻反馈低噪声放大器，具有低噪声和高增益特性。
0.13μm CMOS, 1.2V, 2.6mW, 2.0dB NF, 24dB S21, -49dBm IIP3
Q因子提升低噪声放大器电阻反馈噪声系数增益提升
▸利用串联RLC输入网络的Q因子提升增益
▸通过Q因子降低噪声系数
▸结合电阻反馈拓扑的输入匹配优势
Abstract
yunghoo Jung , Member , IEEE
Abstract—A
-boosted resistive feedback low-noise amplifier
(LNA) using a series inductor matching network and its applica-
tion to a 2.4 GHz LNA is presented. While keeping the advantage of
easy and reliable input matching of a resistive feedback topology, it
takes an extra advantage of
-boosting as in inductively degener-
ated topology. The gain of the LNA increases by the
-factor of the
series RLC input network, and its noise figure (NF) is reduced by
a similar fac