Unified detection and tracking based on particle filtering and likelihood ratio methods

Xiao Jun Yang; Quan Pan; Hong Cai Zhang

Unified detection and tracking based on particle filtering and likelihood ratio methods

Xiao Jun Yang
, Quan Pan
, Hong Cai Zhang

自动化学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

6 引用（Scopus）

摘要

A unified detection and tracking algorithm for dim target with fluctuating amplitude in very law signal-to-noise ratio environment is proposed based on particle filter and Bayesian likelihood ratio methods. The proposed method utilizes raw data of sensor and takes Bayesian likelihood ratio as decision criterion. The posterior probability distribution of target and unified detection and tracking are achieved using particle filter. The simulation results show the effectiveness of the algorithm.

源语言	英语
页（从-至）	837-840
页数	4
期刊	Kongzhi yu Juece/Control and Decision
卷	20
期	7
出版状态	已出版 - 7月 2005

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引用此

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title = "Unified detection and tracking based on particle filtering and likelihood ratio methods",

abstract = "A unified detection and tracking algorithm for dim target with fluctuating amplitude in very law signal-to-noise ratio environment is proposed based on particle filter and Bayesian likelihood ratio methods. The proposed method utilizes raw data of sensor and takes Bayesian likelihood ratio as decision criterion. The posterior probability distribution of target and unified detection and tracking are achieved using particle filter. The simulation results show the effectiveness of the algorithm.",

keywords = "Likelihood ratio, Particle filter, Track-before-detect",

author = "Yang, \{Xiao Jun\} and Quan Pan and Zhang, \{Hong Cai\}",

year = "2005",

month = jul,

language = "英语",

volume = "20",

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journal = "Kongzhi yu Juece/Control and Decision",

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TY - JOUR

T1 - Unified detection and tracking based on particle filtering and likelihood ratio methods

AU - Yang, Xiao Jun

AU - Pan, Quan

AU - Zhang, Hong Cai

PY - 2005/7

Y1 - 2005/7

N2 - A unified detection and tracking algorithm for dim target with fluctuating amplitude in very law signal-to-noise ratio environment is proposed based on particle filter and Bayesian likelihood ratio methods. The proposed method utilizes raw data of sensor and takes Bayesian likelihood ratio as decision criterion. The posterior probability distribution of target and unified detection and tracking are achieved using particle filter. The simulation results show the effectiveness of the algorithm.

AB - A unified detection and tracking algorithm for dim target with fluctuating amplitude in very law signal-to-noise ratio environment is proposed based on particle filter and Bayesian likelihood ratio methods. The proposed method utilizes raw data of sensor and takes Bayesian likelihood ratio as decision criterion. The posterior probability distribution of target and unified detection and tracking are achieved using particle filter. The simulation results show the effectiveness of the algorithm.

KW - Likelihood ratio

KW - Particle filter

KW - Track-before-detect

UR - https://www.scopus.com/pages/publications/23744491707

M3 - 文章

AN - SCOPUS:23744491707

SN - 1001-0920

VL - 20

SP - 837

EP - 840

JO - Kongzhi yu Juece/Control and Decision

JF - Kongzhi yu Juece/Control and Decision

IS - 7

ER -

Unified detection and tracking based on particle filtering and likelihood ratio methods

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