Design of Dispersive Delay Structures (DDSs) Formed by Coupled C-Sections Using Predistortion with Space Mapping

The concept of space mapping is applied, for the first time, to the design of microwave dispersive delay structures (DDSs). DDSs are components providing specified group delay versus frequency responses for real-time radio systems. The DDSs considered in this paper are formed by cascaded coupled C-sections. It is first shown that aggressive space mapping does not provide sufficient accuracy in the synthesis of DDSs. To address this issue, we propose a predistortion space mapping technique. Compared to aggressive space mapping, this technique provides enhanced accuracy, while compared to output space mapping, it provides greater implementation simplicity. Two full-wave and one experimental examples are provided to illustrate the proposed predistortion space mapping technique

Press Release: Optimization Systems Associates Inc. a key participant in Raytheon/Texas Instruments Joint Venture MIMIC Program

Under subcontract to Compact Software Inc., Optimization Systems Associates Inc. is playing a key role in the MIMIC Program's Design Technology in the area of enhanced circuit optimization with tolerances. OSA's contributions are included under an award by the U.S. Department of Defense MIMIC (Microwave/Millimeter-Wave Monolithic Integrated Circuit) Program to the Raytheon/Tl Joint Venture. State-of-the-art tools for microwave circuits simulation, statistical estimation of production yield and powerful mathematical techniques for yield and cost driven design are being integrated into a software system for affordable design of MIMICs. This software development program addresses the challenging yield and cost driven design of MMIC circuits for the early 1990's to optimally accommodate manufacturing tolerances and device statistics. OSA's achievements in integrated approaches to microwave design include milestone contributions to optimal design centering, optimal assignment of manufacturing tolerances, postproduction tuning and yield optimization. Two and a half decades of pioneering CAD experience is focussed on the creation of MIMIC software modules compatible with Super­Compact. OSA will create features for the MIMIC designer for enhancing wafer/chip yield in a CAE environment which will include device statistics, measurement uncertainties, efficient optimization, worst case design, design centering and tolerance assignment for linear and nonlinear circuits

Neural modeling and space mapping: two approaches to circuit design

The drive in the microwave industry for manufacturability-driven design and time-to-market demands powerful and efficient computer-aided design tools. The need for statistical analysis and yield optimization coupled with the desire to use accurate physics-based and EM-based models leads to tasks that are computationally intensive using conventional approaches. We present two recent advances in the microwave CAD area, Artificial Neural Network (ANN) based modeling and Space Mapping (SM) based modeling for fast and accurate design of microwave components and circuits.Consejo Nacional de Ciencia y TecnologíaCarleton Universit

Microwave device modeling exploiting generalized space mapping

We present a comprehensive framework to engineering device modeling which we call Generalized Space Mapping (GSM). GSM significantly enhances the accuracy of available empirical models of microwave devices by utilizing a few relevant full-wave EM simulations. Our approach has been verified on several modeling problems. We present a microstrip shaped T-junction example.Bandler CorporationConsejo Nacional de Ciencia y TecnologíaNatural Sciences and Engineering Research Council of Canad

Software implementation of space mapping based neuromodels of microwave components

We present novel realizations of SM based neuromodels of microwave components using available software. In the SM based neuromodeling techniques a neural network is used to implement a mapping from the electromagnetic to the circuit-theoretic input space. The implicit knowledge in the circuit model allows us to decrease not only the number of learning points needed, but also the complexity of the neural network and to improve the generalization performance. A Frequency Space Mapped Neuromodel (FSMN) of a microstrip right angle bend is implemented using NeuroModeler, and entered into ADS as a library component through an ADS plug-in module.Consejo Nacional de Ciencia y TecnologíaCarleton Universit

Realizations of Space Mapping based neuromodels of microwave components

Artificial Neural Networks (ANN) are suitable in modeling high-dimensional and highly nonlinear elements, such as those found in the microwave arena. In modeling microwave components, the learning data is obtained from a detailed or “fine” model (typically an EM simulator), which is accurate but slow to evaluate. This is aggravated because simulations are needed for many combinations of input parameter values. This is the main drawback of conventional ANN modeling. We use available equivalent circuits or “coarse” models to overcome this limitation. In the Space Mapping (SM) based neuromodeling techniques an ANN is used to implement a suitable mapping from the fine to the coarse input space. The implicit knowledge in the coarse model not only allows us to decrease significantly the number of learning points needed, but also to reduce the complexity of the ANN and to improve the generalization performance. We present novel realizations of SM based neuromodels of practical passive components using commercial software. An SM-based neuromodel of a microstrip right angle bend is developed using NeuroModeler, and entered into HP ADS as a library component through an ADS plug-in module.Consejo Nacional de Ciencia y TecnologíaCom DevNSER

A career in research and academia: perspectives from personal experiences

Slides from a presentation given by Bandler as part of the IEEE MTT-S Young Professionals Workshop on Modeling and Optimization for Active Devices, co-chaired by Gian Piero Gibiino and Justin King. The workshop was delivered via Zoom from Dublin, Ireland on October 25, 2022. Bandler’s focus was on career advice for young professionals.Bandler speaks on creativity, cooperation, and conflict, including ethics, risk, failure, experts’ agendas, resisting secrecy, recognizing your champions and the successes of others. As examples, he indicates milestones in his own career and touches on his vision of cognition-driven design and automating the expert’s mysterious “feel” for a problem

Space Mapping: Engineering Modeling and Optimization Exploiting Surrogates

Slides for a presentation given to the IEEE Cyprus Branch at the University of Cyprus, Cyprus. This presentation was previously given at the University of Waterloo, Canada and COPPE/UFRJ in Rio de Janeiro, Brazil