2011
DOI: 10.2528/pierb11060209
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A Method for Tracking Characteristic Numbers and Vectors

Abstract: Abstract-A new method for tracking characteristic numbers and vectors appearing in the Characteristic Mode Theory is presented in this paper. The challenge here is that the spectral decomposition of the moment impedance-matrix doesn't always produce well ordered eigenmodes. This issue is addressed particularly to finite numerical accuracy and slight nonsymmetry of the frequencydependent matrix. At specific frequencies, the decomposition problem might be ill-posed and non-uniquely defined as well. Hence an adva… Show more

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Cited by 55 publications
(49 citation statements)
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“…2) Mode Degeneracy: Degeneracy can be traced back to the geometrical symmetries of the Ω region [37], [58], [59] and it poses complications with mode tracking [22], [38], [42]. A spherical shell has a degeneracy [50] of…”
Section: A Known Numerical Issuesmentioning
confidence: 99%
“…2) Mode Degeneracy: Degeneracy can be traced back to the geometrical symmetries of the Ω region [37], [58], [59] and it poses complications with mode tracking [22], [38], [42]. A spherical shell has a degeneracy [50] of…”
Section: A Known Numerical Issuesmentioning
confidence: 99%
“…TCM is based on Electric Field Integral Equation (EFIE) [4], [5] with Rao-Wilton-Glisson (RWG) basis functions [6], [7]. Resulting eigenmodes must be properly sorted (tracked) [8].…”
Section: Modal Radiation Qmentioning
confidence: 99%
“…Computing all modes over a wide frequency band becomes challenging as eigenvalues are not generally sorted between one frequency point and the next [3]. Furthermore, modes are not always maintained across frequency points, as modes can become unstable and cease to exist, whereas other modes can appear and become stable without having any relation to previous modes [4].…”
Section: Introductionmentioning
confidence: 99%
“…The simplest tracking method is based on correlating the eigenvalues across frequency and sorting the modes in ascending order from the lowest frequency to the highest frequency [4]. This approach to tracking and classifying eigenvalues produces errors with symmetric geometries [3] and large frequency step sizes [5], [6].…”
Section: Introductionmentioning
confidence: 99%