Conference proceeding
The maximum likelihood estimate for radiation source localization: Initializing an iterative search
53rd IEEE Conference on Decision and Control, Vol.2015-(February), pp.277-282
12/2014
DOI: 10.1109/CDC.2014.7039394
Abstract
The maximum likelihood estimate approach is adopted in this paper for finding the unknown radiation source location and strength. The problem is nonlinear and has to rely on iterative numerical algorithms. Since the problem has possibly multiple local maxima, the initial estimate in those iterative algorithms plays a critical role in guaranteeing the global optimum. This paper proposes a way to generate such an initial estimate which is easy to calculate. Besides some insights that justifies the proposed approach, it is shown that the proposed initial estimate actually converges to the true but unknown maximum likelihood estimate asymptotically thus ensuring that the initial estimate is indeed in a neighborhood of the maximum likelihood estimate and consequently the convergence to the global optimum by local iterative numerical algorithms.
Details
- Title: Subtitle
- The maximum likelihood estimate for radiation source localization: Initializing an iterative search
- Creators
- Er-wei Bai - University of IowaKidane Yosief - University of IowaSoura Dasgupta - University of IowaRaghuraman Mudumbai - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 53rd IEEE Conference on Decision and Control, Vol.2015-(February), pp.277-282
- Publisher
- IEEE
- DOI
- 10.1109/CDC.2014.7039394
- ISSN
- 0191-2216
- eISSN
- 2576-2370
- Language
- English
- Date published
- 12/2014
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197325602771
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