Model-based parameter estimation in electromagnetics pdf

Application of model based parameter estimation for rcs frequency response calculations using method of moments c. Werner and raj mittra have meticulously selected new contributed papers from preeminent researchers in the field to provide stateoftheart discussions on emerging areas of electromagnetics. Sensitivity of modelbased epidemiological parameter. The contributions show how indispensable efficient methods of applied mathematics and computer based modeling can be to enhancing the quality of interdisciplinary research. Parameter estimation an overview sciencedirect topics.

A supernec implementation of model based parameter estimation by interpolating the method of moments impedance matrix neil iain oleary abstractsupernec is a method of moments mom electromagnetic. Application of model based parameter estimation for rcs. This article has considered the rationale and illustrated the application of modelbased parameter estimation mbpe to achieve reducedorder representations of electromagnetic observables via fitting models, the modelbased part of mbpe, that derive from the physics of em fields. Computational em modeling techniques modelbased parameter estimation references 1 the simultaneous interpolation of antenna radiation patterns in both the spatial and frequency domains using modelbased parameter estimation by douglas h. The important problem of parameter estimation for computational models can be considered to intersect with the field of system identification 103,151. Highly dispersive scattering centre analysis using an. Progress on model based extrapolation and interpolation of complex radiation and scattering data in frequency and aspect is described. Using modelbased parameter estimation to increase the.

From these simulations conclusions are drawn and the questions above are. The developmetns presented in this paper address the challenge of. Using modelbased parameter estimation to increase the physical. Model based parameter estimation theory and applications. Efficient electromagnetic modeling of microstrip structures in multilayer. Multivariable modelbased parameter estimation model for antenna radiation pattern prediction manohar d. A spectral representation solution for electromagnetic. These implicit parameters include element properties such as. Your print orders will be fulfilled, even in these challenging times. P application of the conjugate gradient method in electromagnetics and signal.

Modelbased parameter estimation in electromagnetics. In this approach, cracklike flaws are modeled as piecewise linear curves, and volumetric. A modern paradigm for eddycurrent nondestructive evaluation harold a sabbagh, r. Parameter estimation in electromagnetic devices by the multilayered medium and modelbased approach phd theses ivor dulk electrical engineer, msc supervisor. Overview of stateoftheart methods for model based parameter estimation. Applications to em observables article pdf available in ieee antennas and propagation magazine 402. In this approach, cracklike flaws are modeled as piecewise linear curves, and volumetric flaws are. This discussion surveys some aspects of computational electromagnetics from a parameter estimation viewpoint, emphasizing the variety of ways in which an exponentialseries model can arise. Modelbased material parameter estimation for terahertz re. This paper presents an approach to the reconstruction and parameter estimation of flaw models in nde radiography.

Application of model based parameter estimation for fast. Application of modelbased signal processing methods to computational electromagnetics simulators during the period 1 december 1998 30 november 1999. This discussion surveys some aspects of computational electromagnetics from a parameterestimation viewpoint, emphasizing the variety of ways. Modelbased methodologies for pervasive and embedded software. The understanding of the target radar cross section rcs is significant for target identification and for radar designing and optimization. Application of model based signal processing methods to computational electromagnetics simulators during the period 1 december 1998 30 november 1999. Gingras 2 1 marine physical laboratory, university of california, san diego, ca920930701 usa 2 communication and information systems department, spawar, san diego, ca 921527385 usa abstract. Progress on modelbased extrapolation and interpolation of complex radiation and scattering data in frequency and aspect is described. A new procedure is presented to develop multivariable model based parameter estimation mbpe model to predict far field intensity of antenna. Background and theoretical development article pdf available in ieee antennas and propagation magazine 401. This article first provides a background and motivation for using model based parameter estimation mbpe in electromagnetics, focusing on the use of fitting models that are described by exponential and pole series.

Modelbased parameter estimation cearl computational. Pdf modelbased parameterestimation applications in. In this paper, a numerical algorithm for calculating target rcs is presented which is based on legendre wavelet modelbased parameter estimation lwmbpe. To evaluate the performance for the two methods monte carlo simulation is used. A parallel effort ongoing in the electromagnetic community is the development of the modelbased parameter estimation mbpe 29, 30. Cearl computational electromagnetics and antennas research. Modelbased material parameter estimation for terahertz. November aces the applied computational electromagnetics. Parameter estimation also can be used to identify element parameters implicit in the stiffness or mass matrices describing a structural system at the component level and is a useful tool for finite element model updating. Pdf this article first provides a background and motivation for using model based parameter estimation mbpe in electromagnetics, focusing. Computer physics communications 68 1991 435 computer physics northholland communications using modelbased parameter estimation to increase the physical interpretability and numerical efficiency of computational electromagnetics e. These implicit parameters include element properties such as ea, ei, gj, and k spring. Computer physics communications 68 1991 435 computer physics northholland communications using model based parameter estimation to increase the physical interpretability and numerical efficiency of computational electromagnetics e. Source and environmental parameter estimation using electromagnetic matched field processing peter gerstoft 1 and donald f.

Model based parameter estimation applied to supernec, technical report, university of witwatersrand electromagnetics laboratory, 1996. Electromagnetic fields using nonlinear optics and wavelets. A robust yet efficient optimization strategy that combines model based parameter estimation mbpe with ga will also be introduced. Included among the possible approaches for achiev ing such a goal is model based parameter estimation mbpe. There are several computational electromagnetic modeling. In this report, a similar but more flexible method called model based parameter estimation mbpe 5,6 is applied for predicting rcs of the three dimensional pec objects over a wide band of frequencies using method of moments. Pdf modelbased parameter estimation in electromagnetics. Parameter estimation in electromagnetic devices by the. When these systems are implemented a method is needed to compare the direct integration method with the model based parameter estimation method. It will be used by advanced students and practitioners in the fields of computational electromagnetics, electromagnetic inversescattering theory, nondestructive evaluation, materials evaluation and biomedical imaging, among others, and will be based on our experience in applying the subject of computational electromagnetics to these areas, as.

Some references pertaining to model parameter identification from measured acoustic data are summarized below, roughly in chronological order. Modelbased parameter identification of healthy and aged li. Computational electromagnetics and modelbased inversion. How data obtained from various kinds of sampling procedures can be used to quantify such models, i. Modelorder reduction in electromagnetics using modelbased parameter estimation e. Frontiers in electromagnetics electromagnetic theory. For each combination of model parameters, we fit the gfac model in a twostep fitting procedure. The reconstruction of flaw models rather than the flaw distribution itself reduces the required number of projections as well as the complexity of the measurement system 1,2. Werner and raj mittra have meticulously selected new contributed papers from preeminent researchers in the field to provide stateoftheart discussions on emerging areas. Modelbased parameter estimation and related methods as model. His research interest then expanded in the areas of signal parameter estimation techniques using both time. A supernec implementation of model based parameter. A new parameter estimation method for gtd model based on modified compressed sensing by x. Online modelbased redesign of experiments for parameter.

Computational electromagnetics and model based inversion. Modelbased flaw reconstruction and flaw parameter estimation. After joinin the university of kansas in the year 1986 as an assistant professor, he started research in the areas of computational electromagnetics. A new procedure is presented to develop multivariable modelbased parameter estimation mbpe model to predict far field intensity of antenna. The electromagnetic scattering mechanism of radar targets in the highfrequency domain can be characterized exactly by geometrical theory of diffraction gtd model. Basically, the method of modelbased parameter estimation is based on the equivalentcircuit as shown in fig. Techniques previously reported for interpolating antenna radiation patterns simultaneously in both the spatial and frequency domains are reexamined here in order to develop new algorithms with improved efficiency and speed. Modelbased parameter estimation and related methods as. His research interest then expanded in the areas of signal parameter estimation techniques using. In this paper, a numerical algorithm for calculating target rcs is presented which is based on legendre wavelet model based parameter estimation lwmbpe. Multivariable model based parameter estimation model for antenna radiation pattern prediction manohar d.

The contributions show how indispensable efficient methods of applied mathematics and computerbased modeling can be to enhancing the. Model order reduction in electromagnetics using model based parameter estimation e. The authors are with the center for computational electromagnetics, department of electrical and computer engineering, university of illinois. In mbpe technique, the electric current is expanded as a rational function. Unlike polynomialbased signal processing methods such as pronys, music and maximum likelihood estimation, in. Werner ieee antennas and propagation magazine, vol. Reddy hampton university, hampton, virginia march 1998 prepared for langley research center under cooperative agreement ncc1231. Mathematical formulas are simplified using wavelet based method. The matrix pencil method is a modelbased parameter estimation technique that approximates the poles and residues of a system using a sum of complex exponentials.

Index terms volumeintegral equations, electromagnetic nondestructive evaluation, modelbased inversion, modelbased standards, estimationtheoretic metrics. In this preliminary work, the diffusion constant is fixed to its correct value. Frontiers in electromagnetics is the first allinone resource to bring indepth original papers on todays major advances in longstanding electromagnetics problems. Sensitivity of modelbased epidemiological parameter estimation 127 intuitively, it is clear that latency will decrease the initial growth rate of an outbreak. Modelbased parameter estimation in electromagnetics part ii. The material chosen was presented at a multidisciplinary workshop on parameter estimation held in 2009 in heidelberg. This chapter outlines and demonstrates the use of modelbased parameter estimation mbpe in electromagnetics. Four numerical examples will be presented where both techniques are used to interpolate or extrapolate a parameter of interest. The parameter estimation procedure resulted in an efficient model that keeps track of the battery evolution as it ages. Multivariable modelbased parameter estimation model for. Applications to em integral equations article pdf available in ieee antennas and propagation magazine 403.

Pdf 87modelbased parameterestimation applications in. Modelbased parameterestimation applications in electromagnetics. The matrix pencil method is a model based parameter estimation technique that approximates the poles and residues of a system using a sum of complex exponentials. Abstractthe aim of this work is to study the parameter estimation of a nonlinear medium in. The applied computational electromagnetics society aces journal hereinafter known as the aces journal is devoted to the exchange of information in computational electromagnetics, to the advancement of the stateofthe art, and the promotion of related technical activities. However, parameter estimation is an expensive and time consuming task if performed experiments are not properly designed. Hestenes, m conjugate direction methods in optimization. Applied computational electromagnetics society journal.

Modelbased parameter estimation in electromagnetics part iii. Parameter estimation in epidemic models 349 notice that the formula 2. Frontiers in electromagnetics is the first all in one resource to bring in depth original papers on todays major advances in longstanding electromagnetics problems. Thus, the modelbased experimental design technique is an effective mechanism for building and refinement of dynamic process models. Modelbased estimation of microstructure parameters from.

A supernec implementation of model based parameter estimation. Mbpe can be used to circumvent the requirement of obtaining all samples of desired quantities e. This chapter outlines and demonstrates the use of model based parameter estimation mbpe in electromagnetics. Modelbased parameter identification of healthy and aged.

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