基于幅度信息的海上多目标稳健跟踪方法

Chao Liu; Zhiguo Zhang; Jinping Sun

doi:10.11959/j.issn.1000-436x.2019037

基于幅度信息的海上多目标稳健跟踪方法

Translated title of the contribution: Amplitude information based robust tracking method for multiple marine targets

Chao Liu
, Zhiguo Zhang
, Jinping Sun

School of Electronic and Information Engineering

Beihang University
PLA 92853 Unit

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

6 Scopus citations

Abstract

A robust multi-Bernoulli filter based on the amplitude information of the target in sea clutter was proposed, in which the amplitude information of the target and sea clutter was exploited to improve the measurement likelihood. Therefore, the proposed approach could distinguish targets from clutter better when they were spatially close, which further enhanced the ability to track targets in marine radar detection applications. The simulation results of Swerling type Ⅰ fluctuating targets tracking in K distributed sea clutter show that, the proposed algorithm is superior in performance to the robust multi-Bernoulli filter in terms of state estimation, cardinality estimation, as well as clutter rate estimation.

Translated title of the contribution	Amplitude information based robust tracking method for multiple marine targets
Original language	Chinese (Traditional)
Pages (from-to)	60-69
Number of pages	10
Journal	Tongxin Xuebao/Journal on Communications
Volume	40
Issue number	2
DOIs	https://doi.org/10.11959/j.issn.1000-436x.2019037
State	Published - 25 Feb 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

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10.11959/j.issn.1000-436x.2019037

Cite this

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title = "基于幅度信息的海上多目标稳健跟踪方法",

abstract = "A robust multi-Bernoulli filter based on the amplitude information of the target in sea clutter was proposed, in which the amplitude information of the target and sea clutter was exploited to improve the measurement likelihood. Therefore, the proposed approach could distinguish targets from clutter better when they were spatially close, which further enhanced the ability to track targets in marine radar detection applications. The simulation results of Swerling type Ⅰ fluctuating targets tracking in K distributed sea clutter show that, the proposed algorithm is superior in performance to the robust multi-Bernoulli filter in terms of state estimation, cardinality estimation, as well as clutter rate estimation.",

keywords = "Amplitude information, Multi-target tracking, Robust tracking, Sea clutter",

author = "Chao Liu and Zhiguo Zhang and Jinping Sun",

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doi = "10.11959/j.issn.1000-436x.2019037",

language = "繁体中文",

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T1 - 基于幅度信息的海上多目标稳健跟踪方法

AU - Liu, Chao

AU - Zhang, Zhiguo

AU - Sun, Jinping

PY - 2019/2/25

Y1 - 2019/2/25

N2 - A robust multi-Bernoulli filter based on the amplitude information of the target in sea clutter was proposed, in which the amplitude information of the target and sea clutter was exploited to improve the measurement likelihood. Therefore, the proposed approach could distinguish targets from clutter better when they were spatially close, which further enhanced the ability to track targets in marine radar detection applications. The simulation results of Swerling type Ⅰ fluctuating targets tracking in K distributed sea clutter show that, the proposed algorithm is superior in performance to the robust multi-Bernoulli filter in terms of state estimation, cardinality estimation, as well as clutter rate estimation.

AB - A robust multi-Bernoulli filter based on the amplitude information of the target in sea clutter was proposed, in which the amplitude information of the target and sea clutter was exploited to improve the measurement likelihood. Therefore, the proposed approach could distinguish targets from clutter better when they were spatially close, which further enhanced the ability to track targets in marine radar detection applications. The simulation results of Swerling type Ⅰ fluctuating targets tracking in K distributed sea clutter show that, the proposed algorithm is superior in performance to the robust multi-Bernoulli filter in terms of state estimation, cardinality estimation, as well as clutter rate estimation.

KW - Amplitude information

KW - Multi-target tracking

KW - Robust tracking

KW - Sea clutter

UR - https://www.scopus.com/pages/publications/85067455044

U2 - 10.11959/j.issn.1000-436x.2019037

DO - 10.11959/j.issn.1000-436x.2019037

M3 - 文章

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SN - 1000-436X

VL - 40

SP - 60

EP - 69

JO - Tongxin Xuebao/Journal on Communications

JF - Tongxin Xuebao/Journal on Communications

IS - 2

ER -

基于幅度信息的海上多目标稳健跟踪方法

Abstract

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