Collaborative Research:Cross-Domain Built-In Tuning of Advanced Mixed- Signal Radio-Frequncy Systems-on-Chip For Yield Recovery and Electrical Stress Management
合作研究:先进混合信号射频片上系统的跨域内置调谐,用于良率恢复和电应力管理
基本信息
- 批准号:1407542
- 负责人:
- 金额:$ 20万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-06-01 至 2017-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research will make significant contributions to Integrated Circuits (ICs) design which are critical components in all computing, communications and sensing systems. The proposed research is multidisciplinary, spanning the fields of mixed-signal/ analog/Radio-Frequency (RF) design and simulation as well as computer science. It also contains a comprehensive plan for outreach activities and integration of research and education which are essential for enhancing the scientific and engineering workforce.The graduate students working on the project will receive cross-disciplinary training across diverse areas of electrical and computer engineering and computer science. In addition, the multi-disciplinary links to other system-level design disciplines will be explored and developed. The students will participate in summer internship programs with industry and work on real industry test cases. This will facilitate technology transfer to industry and will also challenge the PIs and students to address practical issues that impact commercialization of the technology developed in this research. The research will be disseminated through conference and journal papers, patents as well as demonstrations of working hardware prototypes. The PI and co-PI will make maximum efforts to involve undergraduate students at Georgia Tech and at Purdue in the research project. It will also be possible to involve undergraduate project students in this research through senior design projects. Thus, funding for this project will support the goals of recruiting more U.S. citizens, women and minorities to graduate programs at G.Tech and Purdue Mixed-signal/RF/mm-wave Circuits and systems of the future, manufactured with aggressive CMOS processing technologies will need to be tuned aggressively for performance throughout their life cycle using built-in self-tuning mechanisms. New algorithms and on-chip infrastructure need to be developed for tuning large numbers of parameters (e.g. bias currents, matching networks) of these devices efficiently to improve manufacturing yield and reduce field maintenance costs. Without such tuning mechanisms it will be difficult to introduce new advanced electronic products into the marketplace at low cost. This research will develop new engineering principles for cross-domain (across different circuit modules including digital compensation) built-in tuning of high performance wireless communication systems using multi-dimensional optimization and supervised learning techniques. Intelligent built-in testing methods will be used to expose the process parameters corresponding to each device. This information along with process data from wafer maps and test response data from built-in sensors will be used to tune complex wireless systems for Multiple-Input-Multiple Output (MIMO) beamforming and polar radio. In addition, field tuning will also be applied to extending the useful life of devices in the field by redistributing electrical stresses from electrical degradation. The core concepts developed will be applicable to a host of mixed-signal/analog/high-speed devices such as Wired-Local-Area Network(WLAN) systems, sensor networks, automobile control systems,and others.
这项研究将为集成电路(IC)设计做出重大贡献,这些集成电路是所有计算,通信和传感系统中的关键部件。拟议的研究是多学科的,跨越混合信号/模拟/射频(RF)设计和仿真以及计算机科学领域。该项目还包括一项全面的外联活动计划以及研究和教育的一体化,这对加强科学和工程人员队伍至关重要。参与该项目的研究生将接受电气和计算机工程以及计算机科学等不同领域的跨学科培训。此外,将探索和发展与其他系统级设计学科的多学科联系。学生将参加暑期实习项目与行业和工作的真实的行业测试案例。这将促进技术向产业转移,也将挑战PI和学生解决影响本研究开发的技术商业化的实际问题。这项研究将通过会议和期刊论文,专利以及工作硬件原型的演示来传播。PI和co-PI将尽最大努力让格鲁吉亚理工学院和普渡大学的本科生参与研究项目。它也将有可能涉及本科项目学生通过高级设计项目在这项研究。因此,该项目的资金将支持招募更多的美国公民,妇女和少数民族到G.Tech和Purdue的研究生课程的目标未来的混合信号/RF/毫米波电路和系统,采用积极的CMOS处理技术制造,将需要在其整个生命周期中使用内置的自调谐机制积极地进行性能调谐。需要开发新的算法和片上基础设施来有效地调整这些器件的大量参数(例如偏置电流、匹配网络),以提高制造良率并降低现场维护成本。如果没有这样的调谐机制,将难以以低成本将新的先进电子产品引入市场。这项研究将开发新的工程原理,跨域(跨不同的电路模块,包括数字补偿)内置调谐的高性能无线通信系统,使用多维优化和监督学习技术。智能内置测试方法将用于显示与每个设备对应的过程参数。这些信息沿着来自晶圆图的工艺数据和来自内置传感器的测试响应数据,将用于调谐复杂的无线系统,以实现多输入多输出(MIMO)波束成形和极坐标无线电。此外,场调谐还将通过重新分布来自电退化的电应力来应用于延长现场设备的使用寿命。开发的核心概念将适用于许多混合信号/模拟/高速设备,如有线局域网(WLAN)系统,传感器网络,汽车控制系统等。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
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Abhijit Chatterjee其他文献
迅速・簡便な染色方法に用いた湖底土の特徴
快速简易染色法所用湖底土的特点
- DOI:
- 发表时间:
2004 - 期刊:
- 影响因子:0
- 作者:
Nagase Takako;Abhijit Chatterjee;Alfred P.Tanaka;Margot L.Tanco;Kazue Tazaki;Kazue Tazaki;田崎和江 - 通讯作者:
田崎和江
An algorithm for estimating kinetic parameters of atomistic rare events using finite-time temperature programmed molecular dynamics trajectories
- DOI:
10.1016/j.cpc.2021.107828 - 发表时间:
2021-05-01 - 期刊:
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- 作者:
Saurabh Shivpuje;Manish Kumawat;Abhijit Chatterjee - 通讯作者:
Abhijit Chatterjee
Contrasting features of winter-time PMsub2.5/sub pollution and PMsub2.5/sub-toxicity based on oxidative potential: A long-term (2016–2023) study over Kolkata megacity at eastern Indo-Gangetic Plain
基于氧化潜能的冬季 PM2.5 污染和 PM2.5 毒性的对比特征:对印度恒河平原东部加尔各答特大城市长达 8 年(2016-2023 年)的研究
- DOI:
10.1016/j.scitotenv.2024.176640 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:8.000
- 作者:
Abhinandan Ghosh;Monami Dutta;Abhijit Chatterjee - 通讯作者:
Abhijit Chatterjee
Molecular cloning and sequence analysis of the cDNA encoding thyroid-stimulating hormone β-subunit of common duck and mule duck pituitaries: <em>In vitro</em> regulation of steady-state TSHβ mRNA level
- DOI:
10.1016/j.cbpb.2006.11.018 - 发表时间:
2007-03-01 - 期刊:
- 影响因子:
- 作者:
Ya-Lun Hsieh;Indrajit Chowdhury;Jung-Tsun Chien;Abhijit Chatterjee;John Yuh-Lin Yu - 通讯作者:
John Yuh-Lin Yu
A Low-Cost Test Methodology for Dynamic Specification Testing of High-Speed Data Converters
- DOI:
10.1007/s10836-006-9523-5 - 发表时间:
2007-01-15 - 期刊:
- 影响因子:1.300
- 作者:
Shalabh Goyal;Abhijit Chatterjee;Michael Purtell - 通讯作者:
Michael Purtell
Abhijit Chatterjee的其他文献
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{{ truncateString('Abhijit Chatterjee', 18)}}的其他基金
Collaborative Research: An Effective and Efficient Low-Cost Alternate to Cell Aware Test Generation for Cell Internal Defects
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2331002 - 财政年份:2023
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$ 20万 - 项目类别:
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CCF: Small: Real-Number Function Encoding Driven Error Resilient Signal Processing and Control: Application to Nonlinear Systems from Adaptive Filters to DNNs
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- 批准号:
2128419 - 财政年份:2021
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EFFICIENT TESTING AND POST-MANUFACTURE TUNING OF BEAMFORMING MIMO WIRELESS COMMUNICATION SYSTEMS: ALGORITHMS AND INFRASTRUCTURE
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- 批准号:
1815653 - 财政年份:2018
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S&AS: FND: Real-Time Self-Diagnosis and Correction in Linear and Nonlinear Control of Autonomous Systems Using Encoded State Space Error Signatures
S
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1723997 - 财政年份:2017
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$ 20万 - 项目类别:
Standard Grant
CCF: Small: Learning Assisted Induced Noise and Error Tolerant Digital and Analog Filters Using Reduced-Distance Codes
CCF:小型:使用缩短距离代码的学习辅助感应噪声和容错数字和模拟滤波器
- 批准号:
1421353 - 财政年份:2014
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SaTC: STARSS: Trojan Detection and Diagnosis in Mixed-Signal Systems Using On-The-Fly Learned, Precomputed and Side Channel Tests
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- 批准号:
1441754 - 财政年份:2014
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CCF:SMALL:时序变化弹性信号处理:硬件辅助跨层自适应
- 批准号:
1319783 - 财政年份:2013
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$ 20万 - 项目类别:
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- 批准号:
0903454 - 财政年份:2009
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CIF:使用重要性驱动计算的不完美弹性可扩展数字信号处理算法和架构
- 批准号:
0916270 - 财政年份:2009
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$ 20万 - 项目类别:
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EHCS:嵌入式数字信号处理器中的动态垂直集成功率性能可靠性调制
- 批准号:
0834484 - 财政年份:2008
- 资助金额:
$ 20万 - 项目类别:
Continuing Grant
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