Adaptive Target Birth Intensity for PHD and CPHD Filters

The standard formulation of the probability hypothesis density (PHD) and cardinalised PHD (CPHD) filters assumes that the target birth intensity is known a priori. In situations where the targets can appear anywhere in the surveillance volume this is clearly inefficient, since the target birth inten...

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Main Authors: Ristic, B., Clark, D., Vo, Ba-Ngu, Vo, Ba Tuong
Format: Journal Article
Published: Aerospace & Electronic Systems Society 2012
Online Access:http://hdl.handle.net/20.500.11937/2650
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author Ristic, B.
Clark, D.
Vo, Ba-Ngu
Vo, Ba Tuong
author_facet Ristic, B.
Clark, D.
Vo, Ba-Ngu
Vo, Ba Tuong
author_sort Ristic, B.
building Curtin Institutional Repository
collection Online Access
description The standard formulation of the probability hypothesis density (PHD) and cardinalised PHD (CPHD) filters assumes that the target birth intensity is known a priori. In situations where the targets can appear anywhere in the surveillance volume this is clearly inefficient, since the target birth intensity needs to cover the entire state space. This paper presents a new extension of the PHD and CPHD filters, which distinguishes between the persistent and the newborn targets. This extension enables us to adaptively design the target birth intensity at each scan using the received measurements. Sequential Monte-Carlo (SMC) implementations of the resulting PHD and CPHD filters are presented and their performance studied numerically. The proposed measurement-driven birth intensity improves the estimation accuracy of both the number of targets and their spatial distribution.
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institution Curtin University Malaysia
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publishDate 2012
publisher Aerospace & Electronic Systems Society
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spelling curtin-20.500.11937-26502017-09-13T14:30:53Z Adaptive Target Birth Intensity for PHD and CPHD Filters Ristic, B. Clark, D. Vo, Ba-Ngu Vo, Ba Tuong The standard formulation of the probability hypothesis density (PHD) and cardinalised PHD (CPHD) filters assumes that the target birth intensity is known a priori. In situations where the targets can appear anywhere in the surveillance volume this is clearly inefficient, since the target birth intensity needs to cover the entire state space. This paper presents a new extension of the PHD and CPHD filters, which distinguishes between the persistent and the newborn targets. This extension enables us to adaptively design the target birth intensity at each scan using the received measurements. Sequential Monte-Carlo (SMC) implementations of the resulting PHD and CPHD filters are presented and their performance studied numerically. The proposed measurement-driven birth intensity improves the estimation accuracy of both the number of targets and their spatial distribution. 2012 Journal Article http://hdl.handle.net/20.500.11937/2650 10.1109/TAES.2012.6178085 Aerospace & Electronic Systems Society restricted
spellingShingle Ristic, B.
Clark, D.
Vo, Ba-Ngu
Vo, Ba Tuong
Adaptive Target Birth Intensity for PHD and CPHD Filters
title Adaptive Target Birth Intensity for PHD and CPHD Filters
title_full Adaptive Target Birth Intensity for PHD and CPHD Filters
title_fullStr Adaptive Target Birth Intensity for PHD and CPHD Filters
title_full_unstemmed Adaptive Target Birth Intensity for PHD and CPHD Filters
title_short Adaptive Target Birth Intensity for PHD and CPHD Filters
title_sort adaptive target birth intensity for phd and cphd filters
url http://hdl.handle.net/20.500.11937/2650