Statespace models for stored energy and Qfactors
(2016) 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016 In 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016 p.226228 Abstract
Qfactors are often used to quantify bandwidth performance of resonant structures. The Qfactor is defined as the quotient between the stored and dissipated energies. The time average dissipated energy is reformulated in the dissipated power and is well defined. The definition and evaluation of the stored energy is much more challenging and there are presently several proposals but none is applicable for general radiating system. The main challenge is to separate the radiated and stored parts of the total energy. In this paper, an alternative approach is proposed that is based on a statespace model of the antenna. The statespace model describes the internal states of the system and models the states that stores the energy. The... (More)
Qfactors are often used to quantify bandwidth performance of resonant structures. The Qfactor is defined as the quotient between the stored and dissipated energies. The time average dissipated energy is reformulated in the dissipated power and is well defined. The definition and evaluation of the stored energy is much more challenging and there are presently several proposals but none is applicable for general radiating system. The main challenge is to separate the radiated and stored parts of the total energy. In this paper, an alternative approach is proposed that is based on a statespace model of the antenna. The statespace model describes the internal states of the system and models the states that stores the energy. The statespace model is determined from the impedance matrix of the electric field integral equation. This provides a computationally efficient way to determine the stored energy that can be used in antenna current optimization. The statespace approach offers also new insight into the challenges to define the stored energy for electrically large objects.
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 author
 Gustafsson, Mats ^{LU}
 organization
 publishing date
 20160919
 type
 Chapter in Book/Report/Conference proceeding
 publication status
 published
 subject
 in
 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016
 pages
 3 pages
 publisher
 Institute of Electrical and Electronics Engineers Inc.
 conference name
 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016
 external identifiers

 scopus:84992125315
 ISBN
 9781509025022
 DOI
 10.1109/URSIEMTS.2016.7571359
 language
 English
 LU publication?
 yes
 id
 bafa1b8c9d2a4048a8d3e74b28356d8b
 date added to LUP
 20161116 14:48:52
 date last changed
 20180107 11:35:30
@inproceedings{bafa1b8c9d2a4048a8d3e74b28356d8b, abstract = {<p>Qfactors are often used to quantify bandwidth performance of resonant structures. The Qfactor is defined as the quotient between the stored and dissipated energies. The time average dissipated energy is reformulated in the dissipated power and is well defined. The definition and evaluation of the stored energy is much more challenging and there are presently several proposals but none is applicable for general radiating system. The main challenge is to separate the radiated and stored parts of the total energy. In this paper, an alternative approach is proposed that is based on a statespace model of the antenna. The statespace model describes the internal states of the system and models the states that stores the energy. The statespace model is determined from the impedance matrix of the electric field integral equation. This provides a computationally efficient way to determine the stored energy that can be used in antenna current optimization. The statespace approach offers also new insight into the challenges to define the stored energy for electrically large objects.</p>}, author = {Gustafsson, Mats}, booktitle = {2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016}, isbn = {9781509025022}, language = {eng}, month = {09}, pages = {226228}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, title = {Statespace models for stored energy and Qfactors}, url = {http://dx.doi.org/10.1109/URSIEMTS.2016.7571359}, year = {2016}, }