Grant: Strategic Projects - Group
Carleton University
$128,000.00
Neuro-space mapping modeling technologies and engines for design of high-frequency components and communication subsystems
FY 2007-08
Summary
The proposal is built on a recent breakthrough in high-frequency computer-aided design, namely neuro-space mapping. Combining the powers of neural network modeling and space mapping optimization, neuro-space mapping opens the door for a larger and more fundamental technology. It is becoming a logical answer to the growing challenges in modeling and design optimization of high-frequency effects in RF/microwave and millimeter-wave components and multi-gigabit electronic packages in communication networks.The proposed research will create the critical mass for the emerging neuro-space mapping technology. Exploiting innovative mappings between electromagnetic/physics-based modeling and fast/approximate modeling, we aim to achieve design solutions at much higher levels of accuracy, speed and scale than possible today. The research will unify a wide spectrum of modeling techniques from general black-box to accurate application-specific modeling, from data-based to analytical/compact modeling, and from coarse to fine modeling. Comprehensive frameworks will be developed to serve as the foundation for a new era of computer-aided modeling and design, including yield/manufacturability-driven design optimization with EM/physics accuracy at circuit and system levels, a task beyond the reach of today's technology.Our work will establish a new state of the art in mathematically- and industrially-validated engineering modeling and optimization. By addressing high-frequency challenges, it contributes to pushing bandwidth limits in communication systems. The new computer-aided modeling in place of conventional trial-and-error modeling accelerates the application of new and emerging devices in the design of communication systems. The work will be carried out in close interaction with Canadian industry, strengthening Canadian competitiveness in next generation communication networks.
Program
Strategic Projects - Group
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
336760-2006
Name nom
Zhang, QiJun
Department département
Electronics
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2006
Award amount
128000
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1041
Committee name en
Strategic Projects Selection Panel - Communications and Information
Committee name fr
Comité de sélection des projets stratégiques - Communication et information
Area of application code
514
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Communications equipment
Area of application fr
Matériel de télécommunications
Research subject code
2520
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Microwave and millimeterwave devices, circuits and technologies
Research subject fr
Dispositifs, circuits et technologie hyperfréquences et d'ondes millimétriques
Partie
2
Nb partie
3
Application title
Neuro-space mapping modeling technologies and engines for design of high-frequency components and communication subsystems
Keyword
NA
Application summary
The proposal is built on a recent breakthrough in high-frequency computer-aided design, namely neuro-space mapping. Combining the powers of neural network modeling and space mapping optimization, neuro-space mapping opens the door for a larger and more fundamental technology. It is becoming a logical answer to the growing challenges in modeling and design optimization of high-frequency effects in RF/microwave and millimeter-wave components and multi-gigabit electronic packages in communication networks.The proposed research will create the critical mass for the emerging neuro-space mapping technology. Exploiting innovative mappings between electromagnetic/physics-based modeling and fast/approximate modeling, we aim to achieve design solutions at much higher levels of accuracy, speed and scale than possible today. The research will unify a wide spectrum of modeling techniques from general black-box to accurate application-specific modeling, from data-based to analytical/compact modeling, and from coarse to fine modeling. Comprehensive frameworks will be developed to serve as the foundation for a new era of computer-aided modeling and design, including yield/manufacturability-driven design optimization with EM/physics accuracy at circuit and system levels, a task beyond the reach of today's technology.Our work will establish a new state of the art in mathematically- and industrially-validated engineering modeling and optimization. By addressing high-frequency challenges, it contributes to pushing bandwidth limits in communication systems. The new computer-aided modeling in place of conventional trial-and-error modeling accelerates the application of new and emerging devices in the design of communication systems. The work will be carried out in close interaction with Canadian industry, strengthening Canadian competitiveness in next generation communication networks.