Graduate Thesis Or Dissertation
 

A self-calibrated, reconfigurable RF LNA

Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/f1881p80p

Descriptions

Attribute NameValues
Creator
Abstract
  • Modern wireless System-on-Chips (SoCs), such as mobile handsets, sensor networks, and mm-wave systems, integrate an entire RF system on a single CMOS chip. Such highly complex systems require significant on-chip digital signal processing to help improve the performance of highly sensitive analog/RF components. The IC market being competitive, the ability to achieve first pass silicon success is crucial, due to very high processing and testing time cost. Unfortunately, the ability to achieve first-pass silicon success is becoming increasingly more difficult, due to higher system complexity, higher frequency of operation, increased performance requirements, and higher process skews. This thesis presents a 2.4 GHz, reconfigurable RF Low Noise Amplifier (LNA) using on-chip peak detection and calibration, to mitigate the deleterious effects of process, voltage and temperature (PVT) variations. The LNA can reconfigure its input impedance matching, as well as its gain. On-chip detection of optimal input/output impedance matching is performed using an amplitude peak detector. A low power, robust maximum peak point calibration scheme is proposed that calibrates the LNA to the resonant frequency of interest. Measurement results show that the calibration of the LNA improves the input matching (S₁₁) by a maximum of 5 dB , and power gain (S₂₁) by 3dB, while not significantly degrading the Noise Figure (NF).
License
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Publisher
Peer Reviewed
Language
Replaces

Relationships

Parents:

This work has no parents.

In Collection:

Items

Thumbnail Title Date Uploaded Visibility Actions
file details JayaramanKarthik2009.pdf 2017-08-14 Public Download