Particle filter track-before-detect algorithm based on two-hierarchy sampling

Xin Hua Liang; Quan Pan; Feng Yang; Zeng Fu Wang

doi:10.3969/j.issn.1001-506X.2011.09.02

Particle filter track-before-detect algorithm based on two-hierarchy sampling

Xin Hua Liang, Quan Pan, Feng Yang, Zeng Fu Wang

自动化学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

5 引用（Scopus）

摘要

A particle filter track-before-detect (TBD) algorithm based on two-hierarchy sampling is proposed to deal with low sampling efficiency in high-dimension state space. According to each component's impacting on measurement directly or not, the higher-dimension state sampling process is converted to two successive lower-dimension state sampling processes. This algorithm improves the efficiency of state sampling for particles, and a better detection and tracking performance is obtained. Simulation results show the effectiveness of the proposed algorithm.

源语言	英语
页（从-至）	1921-1926
页数	6
期刊	Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
卷	33
期	9
DOI	https://doi.org/10.3969/j.issn.1001-506X.2011.09.02
出版状态	已出版 - 9月 2011

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abstract = "A particle filter track-before-detect (TBD) algorithm based on two-hierarchy sampling is proposed to deal with low sampling efficiency in high-dimension state space. According to each component's impacting on measurement directly or not, the higher-dimension state sampling process is converted to two successive lower-dimension state sampling processes. This algorithm improves the efficiency of state sampling for particles, and a better detection and tracking performance is obtained. Simulation results show the effectiveness of the proposed algorithm.",

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author = "Liang, {Xin Hua} and Quan Pan and Feng Yang and Wang, {Zeng Fu}",

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AU - Liang, Xin Hua

AU - Pan, Quan

AU - Yang, Feng

AU - Wang, Zeng Fu

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Y1 - 2011/9

N2 - A particle filter track-before-detect (TBD) algorithm based on two-hierarchy sampling is proposed to deal with low sampling efficiency in high-dimension state space. According to each component's impacting on measurement directly or not, the higher-dimension state sampling process is converted to two successive lower-dimension state sampling processes. This algorithm improves the efficiency of state sampling for particles, and a better detection and tracking performance is obtained. Simulation results show the effectiveness of the proposed algorithm.

AB - A particle filter track-before-detect (TBD) algorithm based on two-hierarchy sampling is proposed to deal with low sampling efficiency in high-dimension state space. According to each component's impacting on measurement directly or not, the higher-dimension state sampling process is converted to two successive lower-dimension state sampling processes. This algorithm improves the efficiency of state sampling for particles, and a better detection and tracking performance is obtained. Simulation results show the effectiveness of the proposed algorithm.

KW - Particle filter

KW - Track-before-detect

KW - Two-hierarchy sampling

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U2 - 10.3969/j.issn.1001-506X.2011.09.02

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SN - 1001-506X

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JO - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

JF - Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

IS - 9

ER -

Particle filter track-before-detect algorithm based on two-hierarchy sampling

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