An Ultra-Wideband Common Gate LNA With Gm-Boosted And Noise Canceling Techniques
Journal Title: Journal of Information Systems and Telecommunication - Year 2014, Vol 2, Issue 2
Abstract
In this paper, an ultra-wideband (UWB) common gate low-noise amplifier (LNA) with gm-boosted and noise-cancelling techniques is presented. In this scheme we utilize gm-boosted stage for cancelling the noise of matching device. The bandwidth extension and flat gain are achieved by using of series and shunt peaking techniques. Simulated in .13 um Cmos technology, the proposed LNA achieved 2.38-3.4dB NF and S11 less than -11dB in the 3.1-10.6 GHz band. Maximum power gain (S21) is 11dB and -3dB bandwidth is 1 .25-11.33 GHz. The power consumption of LNA is 5.8mW.
Authors and Affiliations
Amin Jamalkhah, Ahmad Hakimi
Keywords
Related Articles
- EP ID EP185958
- DOI 10.7508/jist.2014.02.006
- Views 90
- Downloads 0
High I/Q Imbalance Receiver Compensation and Decision Directed Frequency Selective Channel Estimation in an OFDM Receiver Employing Neural Network
The disparity introduced between In-phase and Quadrature components in a digital communication system receiver known as I/Q imbalance is a prime objective within the employment of direct conversion architectures. It redu...
A Low-Jitter 20-110MHz DLL Based on a Simple PD and Common-Mode Voltage Level Corrected Differential Delay Elements
In this paper, a 16-phases 20MHz to 110MHz low jitter delay locked loop, DLL, is proposed in a 0.35µm CMOS process. A sensitive open loop phase detector, PD, is introduced based on a novel idea to simply detect small pha...
Analysis of Imperfect Space Channel for the Next Generation Satellite Networks
An efficient space data management is imperative in guaranteeing the best performance with a fair distribution of next generation satellite networks. Therefore, one of the major challenges of implementing this kind of fu...
Design of Fall Detection System: A Dynamic Pattern Approach with Fuzzy Logic and Motion Estimation
Every year thousands of the elderly suffer serious damages such as articular fractures, broken bones and even death due to their fall. Automatic detection of the abnormal walking in people, especially such accidents as t...
Assessment of Performance Improvement in Hyperspectral Image Classification Based on Adaptive Expansion of Training Samples
High dimensional images in remote sensing applications allow us to analysis the surface of the earth with more details. A relevant problem for supervised classification of hyperspectral image is the limited availability...