PHD filters for nonstandard targets, II: Unresolved targets

Author

Mahler, Ronald

Author_Institution

MS2 Tactical Syst., Adv. Technol. Dept., Lockheed Martin, Eagan, MN, USA

fYear

2009

fDate

6-9 July 2009

Firstpage

922

Lastpage

929

Abstract

The probability hypothesis density (PHD) and cardinalized PHD (CPHD) filters were introduced in 2000 and 2006, respectively, as approximations of the full multitarget Bayes detection and tracking filter. Both filters are based on the ldquostandardrdquo multitarget measurement model that underlies most multitarget tracking theory. This paper is one of a series of theoretical studies that address PHD and CPHD filters for nonstandard multitarget measurement models. In this paper I derive the measurement-update equations for a PHD filter that presumes a model for unresolved targets based on the concept of continuous target number.

Keywords

Bayes methods; filtering theory; object detection; target tracking; cardinalized probability hypothesis density filters; measurement-update equations; multitarget Bayes detection; nonstandard multitarget measurement models; nonstandard targets; standard multitarget measurement model; tracking filter; unresolved targets; Equations; Filtering theory; Information filtering; Information filters; Layout; Measurement standards; Probability distribution; Radar tracking; Target tracking; Wireless communication; CPHD filter; PHD filter; multi-target tracking; point processes; random sets; unresolved targets;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2009. FUSION '09. 12th International Conference on

Conference_Location

Seattle, WA

Print_ISBN

978-0-9824-4380-4

Type

conf

Filename

5203633