Second-Order Statistics for Threat Assessment with the PHD Filter

Alexey Narykov, Emmanuel Delande, Daniel Clark, Paul Thomas, Yvan Petillot

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper explores application of the Probability Hypothesis Density (PHD) filter to the estimation of a threat level pertaining to an object population. Specifically, it develops explicit and compact expression for computation of its variance, a second-order statistical moment that quantifies the dispersion of the threat level around its mean value. The behaviour of the statistic is demonstrated through simulation examples.

Original languageEnglish
Title of host publication2017 Sensor Signal Processing for Defence Conference (SSPD)
PublisherIEEE
ISBN (Electronic)9781538616635
DOIs
Publication statusPublished - 21 Dec 2017
Event7th Conference of the Sensor Signal Processing for Defence 2017 - London, United Kingdom
Duration: 6 Dec 20177 Dec 2017

Conference

Conference7th Conference of the Sensor Signal Processing for Defence 2017
Abbreviated titleSSPD 2017
CountryUnited Kingdom
CityLondon
Period6/12/177/12/17

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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