A Particle Filter Track-Before-Detect Algorithm Based on Two-Stage Measurement Update

Yanjun Chen; Xinhua Liang; Quan Pan; Yan Liang

doi:10.3969/j.issn.1004-1699.2015.01.020

A Particle Filter Track-Before-Detect Algorithm Based on Two-Stage Measurement Update

Yanjun Chen, Xinhua Liang, Quan Pan, Yan Liang

School of Automation

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

8 Scopus citations

Abstract

A particle filter track-before-detect algorithm based on two-stage measurement update was proposed, to deal with detection and tracking a dim target in low signal-to-noise ratio. After updating of the posterior state in particle filter, by using Kalman filter, a second-stage measurement update is executed. This improves the degree of using of particles-contained information. Simulation results show that the new algorithm obtains better detection and tracking performance.

Original language	English
Pages (from-to)	115-120
Number of pages	6
Journal	Chinese Journal of Sensors and Actuators
Volume	28
Issue number	1
DOIs	https://doi.org/10.3969/j.issn.1004-1699.2015.01.020
State	Published - 1 Jan 2015

Keywords

Dim target
Particle filter
Track-before-detect
Two-stage measurement update

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abstract = "A particle filter track-before-detect algorithm based on two-stage measurement update was proposed, to deal with detection and tracking a dim target in low signal-to-noise ratio. After updating of the posterior state in particle filter, by using Kalman filter, a second-stage measurement update is executed. This improves the degree of using of particles-contained information. Simulation results show that the new algorithm obtains better detection and tracking performance.",

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AU - Liang, Xinhua

AU - Pan, Quan

AU - Liang, Yan

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N2 - A particle filter track-before-detect algorithm based on two-stage measurement update was proposed, to deal with detection and tracking a dim target in low signal-to-noise ratio. After updating of the posterior state in particle filter, by using Kalman filter, a second-stage measurement update is executed. This improves the degree of using of particles-contained information. Simulation results show that the new algorithm obtains better detection and tracking performance.

AB - A particle filter track-before-detect algorithm based on two-stage measurement update was proposed, to deal with detection and tracking a dim target in low signal-to-noise ratio. After updating of the posterior state in particle filter, by using Kalman filter, a second-stage measurement update is executed. This improves the degree of using of particles-contained information. Simulation results show that the new algorithm obtains better detection and tracking performance.

KW - Dim target

KW - Particle filter

KW - Track-before-detect

KW - Two-stage measurement update

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M3 - 文章

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JO - Chinese Journal of Sensors and Actuators

JF - Chinese Journal of Sensors and Actuators

IS - 1

ER -

A Particle Filter Track-Before-Detect Algorithm Based on Two-Stage Measurement Update

Abstract

Keywords

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