On multiple-model extended target multi-Bernoulli filters

Tongyang Jiang; Meiqin Liu; Zhen Fan; Senlin Zhang

doi:10.1016/j.dsp.2016.08.002

On multiple-model extended target multi-Bernoulli filters

Tongyang Jiang
, Meiqin Liu
, Zhen Fan
, Senlin Zhang

科研成果: 期刊稿件 › 文章 › 同行评审

15 引用（Scopus）

摘要

In this paper, we propose a multiple-model (MM) version of the extended target multi-Bernoulli (ET-MB) filter for estimating multiple maneuvering extended targets. A Gaussian mixture (GM) implementation of the MM-ET-MB filter for linear Gaussian models and a sequential Monte Carlo (SMC) implementation of the MM-ET-MB filter for nonlinear models are presented. Two numerical examples are provided to verify the effectiveness of the MM-ET-MB filter for estimating multiple maneuvering extended targets.

源语言	英语
页（从-至）	76-85
页数	10
期刊	Digital Signal Processing: A Review Journal
卷	59
DOI	https://doi.org/10.1016/j.dsp.2016.08.002
出版状态	已出版 - 1 12月 2016
已对外发布	是

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title = "On multiple-model extended target multi-Bernoulli filters",

abstract = "In this paper, we propose a multiple-model (MM) version of the extended target multi-Bernoulli (ET-MB) filter for estimating multiple maneuvering extended targets. A Gaussian mixture (GM) implementation of the MM-ET-MB filter for linear Gaussian models and a sequential Monte Carlo (SMC) implementation of the MM-ET-MB filter for nonlinear models are presented. Two numerical examples are provided to verify the effectiveness of the MM-ET-MB filter for estimating multiple maneuvering extended targets.",

keywords = "Gaussian mixture, Maneuvering extended targets, Multi-Bernoulli filters, Multiple-model, Random finite set, Sequential Monte Carlo",

author = "Tongyang Jiang and Meiqin Liu and Zhen Fan and Senlin Zhang",

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year = "2016",

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T1 - On multiple-model extended target multi-Bernoulli filters

AU - Jiang, Tongyang

AU - Liu, Meiqin

AU - Fan, Zhen

AU - Zhang, Senlin

PY - 2016/12/1

Y1 - 2016/12/1

N2 - In this paper, we propose a multiple-model (MM) version of the extended target multi-Bernoulli (ET-MB) filter for estimating multiple maneuvering extended targets. A Gaussian mixture (GM) implementation of the MM-ET-MB filter for linear Gaussian models and a sequential Monte Carlo (SMC) implementation of the MM-ET-MB filter for nonlinear models are presented. Two numerical examples are provided to verify the effectiveness of the MM-ET-MB filter for estimating multiple maneuvering extended targets.

AB - In this paper, we propose a multiple-model (MM) version of the extended target multi-Bernoulli (ET-MB) filter for estimating multiple maneuvering extended targets. A Gaussian mixture (GM) implementation of the MM-ET-MB filter for linear Gaussian models and a sequential Monte Carlo (SMC) implementation of the MM-ET-MB filter for nonlinear models are presented. Two numerical examples are provided to verify the effectiveness of the MM-ET-MB filter for estimating multiple maneuvering extended targets.

KW - Gaussian mixture

KW - Maneuvering extended targets

KW - Multi-Bernoulli filters

KW - Multiple-model

KW - Random finite set

KW - Sequential Monte Carlo

UR - https://www.scopus.com/pages/publications/84983684905

U2 - 10.1016/j.dsp.2016.08.002

DO - 10.1016/j.dsp.2016.08.002

M3 - 文章

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SN - 1051-2004

VL - 59

SP - 76

EP - 85

JO - Digital Signal Processing: A Review Journal

JF - Digital Signal Processing: A Review Journal

ER -

On multiple-model extended target multi-Bernoulli filters

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