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

School of Automation

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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.

Original language	English
Pages (from-to)	1921-1926
Number of pages	6
Journal	Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume	33
Issue number	9
DOIs	https://doi.org/10.3969/j.issn.1001-506X.2011.09.02
State	Published - Sep 2011

Keywords

Particle filter
Track-before-detect
Two-hierarchy sampling

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

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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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AU - Pan, Quan

AU - Yang, Feng

AU - Wang, Zeng Fu

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

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ER -

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

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Keywords

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