Sökning: WFRF:(Nordebo Sven)
> (2005-2009) >
A priori modeling f...
A priori modeling for gradient based inverse scattering algorithms
-
- Nordebo, Sven, 1963- (författare)
- Lund University,Lunds universitet,Växjö universitet,Matematiska och systemtekniska institutionen,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
-
- Gustafsson, Mats (författare)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
-
(creator_code:org_t)
- 2009
- 2009
- Engelska.
-
Ingår i: Progress in Electromagnetics Research B. - 1937-6472. ; 16, s. 407-432
- Relaterad länk:
-
http://dx.doi.org/10... (free)
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.2...
-
https://lup.lub.lu.s...
-
visa färre...
Abstract
Ämnesord
Stäng
- This paper presents a Fisher information based Bayesian approach to analysis and design of the regularization and preconditioning parameters used with gradient based inverse scattering algorithms. In particular, a one-dimensional inverse problem is considered where the permittivity and conductivity profiles are unknown and the input data consist of the scattered field over a certain bandwidth. A priori parameter modeling is considered with linear, exponential and arctangential parameter scalings and robust preconditioners are obtained by choosing the related scaling parameters based on a Fisher information analysis of the known background. The Bayesian approach and a principal parameter (singular value) analysis of the stochastic Cramer-Rao bound provide a natural interpretation of the regularization that is necessary to achieve stable inversion, as well as an indicator to predict the feasibility of achieving successful reconstruction in a given problem set-up. In particular, the Tikhonov regularization scheme is put into a Bayesian estimation framework. A time-domain least-squares inversion algorithm is employed which is based on a quasi-Newton algorithm together with an FDTD-electromagnetic solver. Numerical examples are included to illustrate and verify the analysis.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- Electrical engineering, electronics and photonics
- Elektroteknik, elektronik och fotonik
- Electrotechnology
- Elektroteknik alt Electrical engineering
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas