On the uniqueness of maximum likelihood estimation of nuclear sources

Date

Authors

Haug, J.
Anjum, M. F.
Anderson, Brian
Dasgupta, Soura
Mudumbai, R.
Baidoo-Williams, H. E.

Journal Title

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Volume Title

Publisher

The Hong Kong University of Science and Technology

Abstract

In an earlier paper, [1], we have considered the Maximum Likelihood (ML) localization of a stationary nuclear source using the time of arrival of particles modeled as a Poisson process. In this paper we consider whether the ML location estimate characterized in [1] is unique. In particular, we show that the question of uniqueness is equivalent to whether or not the root locus of a certain transfer function admits a single pair of nonzero imaginary axis crossing.

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Book Title

23rd International Symposium on Mathematical Theory of Networks and Systems, MTNS 2018

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Free Access via publisher website

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DOI

Restricted until

2099-12-31