Second-Order Statistics for Threat Assessment with the PHD Filter

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

doi:10.1109/SSPD.2017.8233262

Second-Order Statistics for Threat Assessment with the PHD Filter

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

^*Corresponding author for this work

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

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 language	English
Title of host publication	2017 Sensor Signal Processing for Defence Conference (SSPD)
Publisher	IEEE
ISBN (Electronic)	9781538616635
DOIs	https://doi.org/10.1109/SSPD.2017.8233262
Publication status	Published - 21 Dec 2017
Event	7th Conference of the Sensor Signal Processing for Defence 2017 - London, United Kingdom Duration: 6 Dec 2017 → 7 Dec 2017

Conference

Conference	7th Conference of the Sensor Signal Processing for Defence 2017
Abbreviated title	SSPD 2017
Country/Territory	United Kingdom
City	London
Period	6/12/17 → 7/12/17

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

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10.1109/SSPD.2017.8233262

Cite this

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title = "Second-Order Statistics for Threat Assessment with the PHD Filter",

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.",

author = "Alexey Narykov and Emmanuel Delande and Daniel Clark and Paul Thomas and Yvan Petillot",

year = "2017",

month = dec,

day = "21",

doi = "10.1109/SSPD.2017.8233262",

language = "English",

booktitle = "2017 Sensor Signal Processing for Defence Conference (SSPD)",

publisher = "IEEE",

address = "United States",

note = "7th Conference of the Sensor Signal Processing for Defence 2017, SSPD 2017 ; Conference date: 06-12-2017 Through 07-12-2017",

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TY - GEN

T1 - Second-Order Statistics for Threat Assessment with the PHD Filter

AU - Narykov, Alexey

AU - Delande, Emmanuel

AU - Clark, Daniel

AU - Thomas, Paul

AU - Petillot, Yvan

PY - 2017/12/21

Y1 - 2017/12/21

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85047469011&partnerID=8YFLogxK

U2 - 10.1109/SSPD.2017.8233262

DO - 10.1109/SSPD.2017.8233262

M3 - Conference contribution

AN - SCOPUS:85047469011

BT - 2017 Sensor Signal Processing for Defence Conference (SSPD)

PB - IEEE

T2 - 7th Conference of the Sensor Signal Processing for Defence 2017

Y2 - 6 December 2017 through 7 December 2017

ER -

Second-Order Statistics for Threat Assessment with the PHD Filter

Abstract

Conference

ASJC Scopus subject areas

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