NDLI: Particle swarm optimization as an inversion tool for a nonlinear UXO model

Content Provider	IEEE Xplore Digital Library
Author	Stalnaker, J. Miller, E.
Copyright Year	2007
Description	Author affiliation: Textron Syst., Wilmington (Stalnaker, J.)
Abstract	The physics-based classification of unexploded ordnance (UXO) from electromagnetic induction (EMI) data is an exercise in nonlinear data inversion in which model parameters are extracted from a dataset by way of a physical model. Gradient-descent-based algorithms like Levenberg-Marquart (LM) suffer from local minima entrapment, but deliver rapid, accurate estimates when initialized near the global minima. Global optimizers, like particle swarm optimization (PSO) are less susceptible to this limitation. Here we consider an approach for parameter estimation based on a hybridization of PSO and Levenberg-Marquart. For purposes of initializing the LM procedure, we demonstrate that PSO applied to a reduced form of the physical model reaches a reliable initialization in one tenth the time of a coarse search of parameter space. Monte Carlo testing of the approach shows PSO initialized Levenberg-Marquardt estimation converging to the best-fit solution every time, as opposed to a randomly but reasonably initialized estimation. PSO as a stand alone approach provides less fit solutions on average than the PSO/Levenberg-Marquardt hybrid within the same computation time. We demonstrate these observations using both the simple, dipole model for the UXO problem as well as an enhanced form of this model capable of better capturing signal structure for large UXO-type objects.
Starting Page	432
Ending Page	435
File Size	245215
Page Count	4
File Format	PDF
ISBN	9781424412112
DOI	10.1109/IGARSS.2007.4422823
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle swarm optimization Electromagnetic scattering Electromagnetic modeling Electromagnetic interference Conductivity Physics Electromagnetic induction Signal processing algorithms Electromagnetic measurements Cost function
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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