Second-order Statistics for Threat Assessment with the PHD Filter

被引：0

作者：

Narykov, Alexey ^{[1
,2
]}

Delande, Emmanuel D. ^{[1
]}

Clark, Daniel E. ^{[1
]}

Thomas, Paul ^{[3
]}

Petillot, Yvan ^{[1
]}

机构：

[1] Heriot Watt Univ, Inst Sensors Signals & Syst, Edinburgh EH14 4AS, Midlothian, Scotland

[2] Univ Edinburgh, Inst Digital Commun, Edinburgh EH9 3FG, Midlothian, Scotland

[3] Dstl Porton Down, Cyber & Informat Syst Div, Salisbury SP4 0JQ, Wilts, England

来源：

2017 SENSOR SIGNAL PROCESSING FOR DEFENCE CONFERENCE (SSPD) | 2017年

基金：

英国工程与自然科学研究理事会;

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：203 / 207

页数：5

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