Grant: Collaborative Research and Development Grants
University of Ontario Institute of Technology
$27,778.00
Computer aided design of multiplexing networks with effective application of artificial neural networks
FY 2009-10
Summary
Advances in communication technologies are placing demands on the computer aided design tools to handle increased circuit complexity. Conventional approaches for RF and microwave circuit modeling are either very accurate but extremely time consuming, or fast but lack of accuracy. Without effective modeling techniques, design success often relies on either breadboard manufacture or prolonged in-lab tuning. Both are costly and have high possibility of failures. Therefore, efficient design tools are of vital importance to the high-tech industry.
The proposed research project focuses on the design of multiplexing networks, presumably the most complicated microwave passive circuit. The objective is to advance the state-of-the art in computer aided design (CAD) of multiplexing networks through effective application of artificial neural network. The problems encountered in the design of such complex circuits are divided into components. Combinations of different modeling techniques are proposed to tackle each task separately, enabling the development of design tools with both superior speed and accuracy comparable to precise yet time-consuming electromagnetic simulations.
First-pass success, shortened product design cycle and cost reduction rely on fast and effective RF/microwave models. The outcome from the project will contribute to advancement of space and wireless communication technology, advance the state-of-the-art in CAD technique, produce a solution that meets the industrial design and production needs, and thus enhance competitiveness and capability of Canadian high-tech telecommunications industry, including the industrial sponsor, in the global market.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
371708-2008
Name nom
Wang, Ying
Department département
Engineering and Applied Science, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2008
Award amount
27778
Program id
CRDPJ
Program nane en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
805
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communications technologies (satellites, radar, etc.)
Area of application fr
Technologie des télécommunications (satellites, radar,etc.)
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
Computer aided design of multiplexing networks with effective application of artificial neural networks
Keyword
NA
Application summary
Advances in communication technologies are placing demands on the computer aided design tools to handle increased circuit complexity. Conventional approaches for RF and microwave circuit modeling are either very accurate but extremely time consuming, or fast but lack of accuracy. Without effective modeling techniques, design success often relies on either breadboard manufacture or prolonged in-lab tuning. Both are costly and have high possibility of failures. Therefore, efficient design tools are of vital importance to the high-tech industry.
The proposed research project focuses on the design of multiplexing networks, presumably the most complicated microwave passive circuit. The objective is to advance the state-of-the art in computer aided design (CAD) of multiplexing networks through effective application of artificial neural network. The problems encountered in the design of such complex circuits are divided into components. Combinations of different modeling techniques are proposed to tackle each task separately, enabling the development of design tools with both superior speed and accuracy comparable to precise yet time-consuming electromagnetic simulations.
First-pass success, shortened product design cycle and cost reduction rely on fast and effective RF/microwave models. The outcome from the project will contribute to advancement of space and wireless communication technology, advance the state-of-the-art in CAD technique, produce a solution that meets the industrial design and production needs, and thus enhance competitiveness and capability of Canadian high-tech telecommunications industry, including the industrial sponsor, in the global market.