Built-in Test Enabled Diagnosis and Tuning of RF Transmitter Systems

Author:

Natarajan Vishwanath1,Senguttuvan Rajarajan1,Sen Shreyas1,Chatterjee Abhjit1

Affiliation:

1. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

Abstract

Built-In RF test is a challenging problem due to the need to measure the values of complex test specifications on-chip with the precision of external RF test equipment. BIT techniques are necessary for guiding system adaptation during field operation. Prior research has demonstrated that embedded RF sensors can generate significant information about RF circuit performance. In this paper, we propose a test methodology that enables efficient BIT and BIT-enabled tuning of RF systems. A test generation approach is developed that co-optimizes the applied test stimulus, the type of embedded sensors, and the system response capture mechanisms for maximal accuracy of the BIT procedure. This BIT technique is also used to perform diagnostic testing of the transmitter. The information gathered from diagnosis is used to tune the transmitter for improved performance. Simulation results demonstrate that BIT-assisted diagnosis and tuning can be performed with good accuracy using the proposed methodology.

Funder

National Science Foundation

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Hardware and Architecture

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Flexible Wideband Radio Transceiver Testing using Non-Uniform Subsampling Demodulation;2018 IEEE International Symposium on Circuits and Systems (ISCAS);2018-05

2. Low-Power Adaptive Mixed Signal/RF Circuits and Systems and Self-Healing Solutions;Low-Power Variation-Tolerant Design in Nanometer Silicon;2010-10-25

3. Recent Advances in Analog, Mixed-Signal, and RF Testing;IPSJ Transactions on System LSI Design Methodology;2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3