This paper presents an optimum design of an ultra-wideband (UWB) 2.5–10.5-GHz low-noise amplifier (LNA) in 180-nm and 65-nm radiofrequency (RF)-complementary metal–oxide–semiconductor (CMOS) technology. A novel input matching network employing resistive–inductive feedback and a noise-canceling technique is proposed to achieve broadband matching as well as a low noise figure (NF). Moreover, a current-reused structure and the inductive peaking technique are applied in the proposed LNA to reduce its power consumption and provide high, flat gain. The proposed UWB-LNA is optimized using heuristic multiobjective optimization based on inclined planes system optimization (IPO) and particle swarm optimization (PSO) as simulation-based evolutionary techniques. The proposed UWB-LNA is designed and simulated using HSPICE and Cadence Spectre RF. The postlayout simulation results show an input return loss (S₁₁) of less than −10 dB, a flat power gain (S₂₁) of 13.2 ± 0.5 and 14 ± 0.5 dB, and an NF below 5 and 2.5 dB over the whole UWB band when implemented in 180-nm and 65-nm CMOS technology, respectively. The UWB-LNA consumes 7.2 and 9.5 mW from a 1.8-V power supply when implemented in 180-nm and 65-nm CMOS technology, respectively.

中文翻译：

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基于启发式多目标优化的新型超宽带LNA的优化设计

本文介绍了采用180nm和65nm射频（RF）辅助金属-氧化物-半导体（CMOS）技术的超宽带（UWB）2.5–10.5-GHz低噪声放大器（LNA）的最佳设计。为了实现宽带匹配和低噪声系数（NF），提出了一种采用电阻-电感反馈和降噪技术的新型输入匹配网络。此外，在提议的LNA中采用了电流重用结构和电感峰值技术，以降低其功耗并提供高而平坦的增益。拟议的UWB-LNA使用启发式多目标优化技术进行优化，该技术基于斜面系统优化（IPO）和粒子群优化（PSO）作为基于仿真的进化技术。拟议的UWB-LNA是使用HSPICE和Cadence Spectre RF设计和仿真的。小于-10 dB的S ₁₁），平坦的功率增益（S ₂₁）为13.2±0.5和14±0.5 dB，并且在180 nm和65-nm中实现时，在整个UWB频带上的NF低于5和2.5 dB分别为nm CMOS技术。当分别采用180nm和65nm CMOS技术实现时，UWB-LNA的1.8V电源消耗的功率为7.2mW和9.5mW。