Paper Info
Title
A low power low noise amplifier employing negative feedback and current reuse techniques.
Abstract
This paper presents a low power wideband differential Low Noise Amplifier (LNA) suited for multimode receivers and Wireless Sensor Networks (WSN) in a 0.18µm CMOS technology. By using negative feedback, the stringent trade-off between the input matching and the transconductance (gm) is broken and the required transconductance of input transistor in Common-Gate (CG) LNA is decreased. As a result of this and also using the current reuse implementation scheme, power consumption (PDC) is significantly reduced. The circuit provides high gain and decreased Noise Figure (NF) in spite of low PDC. The LNA structure is fully inductorless, and the core circuit consumes only 1.3mW from a 1.8-V supply occupying an area of 0.032mm2. A maximum voltage gain of 20.1dB is provided with 3dB bandwidth up to 3.3GHz. The input matching is better than -16dB from 20MHz to 3.3GHz. The minimum NF is 3.2dB with third order Input Intercept Point (IIP3) of -2.4dBm. A 1.3mW, inductorless differential Common Gate Low Noise Amplifier is presented in this paper.The idea is to remove the stringent trade-off between the input matching and power consumption by using the transconductance of the tail transistor.Unlike gm-boosting, the proposed technique doesn't degrade the linearity.The circuit is low power, low active area and wideband, so it's suitable for multimode and Wireless Sensor Network applications.
Year
DOI
Venue
2016
10.1016/j.mejo.2015.12.011
Microelectronics Journal
Keywords
Field
DocType
Common-Gate Low Noise Amplifier (CG-LNA),Wideband,Inductorless,Low power,Negative feedback,Current reuse
Wideband,Low-noise amplifier,Operational transconductance amplifier,Instrumentation amplifier,Noise figure,Electronic engineering,Effective input noise temperature,Engineering,Transconductance,Common gate,Electrical engineering
Journal
Volume
Issue
ISSN
49
C
0026-2692
Citations 
PageRank 
References 
4
0.52
12
Authors
4
Name
Order
Citations
PageRank
Roya Jafarnejad171.60
Abumoslem Jannesari2279.88
Abdolreza Nabavi34717.09
Ali Sahafi452.26