A Formulation of the Adversarial Risk for Multiobject Filtering

Narykov, Alexey ORCID: 0000-0003-2064-2900, Delande, Emmanuel and Clark, Daniel E (2021) A Formulation of the Adversarial Risk for Multiobject Filtering. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 57 (4). pp. 2082-2092.

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Official URL: http://dx.doi.org/10.1109/taes.2021.3098130

Abstract

This article is focused on estimating a quantity of interest in the context of military impact assessment that we shall call adversarial risk. We formulate the adversarial risk as a function of the multiobject state describing a group of weapons, and propose two approaches to estimate it using multiobject filters. The first, optimal, approach is tailored to filters for point processes, and produces the mean estimate of the adversarial risk and its variance. The second, naïve, approach is applicable to any filter producing point estimates of the multiobject state, yet it is not capable of equipping a risk estimate with an indicator of its quality. We develop an implementation of the optimal approach for a particular multiobject filter and compare it to the naïve approach.

Item Type:	Article
Uncontrolled Keywords:	Adversarial risk, Biological system modeling, Computational modeling, impact assessment, multiobject filtering, Planning, Random variables, Sociology, Statistics, Weapons
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	31 Mar 2023 07:34
Last Modified:	15 Mar 2024 17:31
DOI:	10.1109/TAES.2021.3098130
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3169356