Gating technique for the Gaussian mixture multi-Bernoulli filter

Tongyang Jiang; Meiqin Liu; Senlin Zhang; Weihua Sheng

doi:10.1109/ACC.2014.6858601

Gating technique for the Gaussian mixture multi-Bernoulli filter

Tongyang Jiang
, Meiqin Liu
, Senlin Zhang
, Weihua Sheng

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The multi-Bernoulli (MB) filter is a new attractive approach for multi-target filtering in the presence of clutter and detection uncertainty. However, the computational complexity grows as clutter density increases. The clutter measurements may also degrade the filtering accuracy. To eliminate the clutter measurements and reduce the computational complexity, gating technique for the Gaussian mixture MB (GM-MB) filter is proposed in this paper. Gating technique is designed for each hypothesized track to reduce the number of measurements by discarding most clutter measurements. Simulation results demonstrate the proposed approach can improve the real-time performance without the degradation of filtering performance.

Original language	English
Title of host publication	2014 American Control Conference, ACC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1096-1101
Number of pages	6
ISBN (Print)	9781479932726
DOIs	https://doi.org/10.1109/ACC.2014.6858601
State	Published - 2014
Externally published	Yes
Event	2014 American Control Conference, ACC 2014 - Portland, OR, United States Duration: 4 Jun 2014 → 6 Jun 2014

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Conference

Conference	2014 American Control Conference, ACC 2014
Country/Territory	United States
City	Portland, OR
Period	4/06/14 → 6/06/14

Keywords

Estimation
Filtering

Access to Document

10.1109/ACC.2014.6858601

Cite this

@inproceedings{0891ee02299d42afbbb0926955e4ff84,

title = "Gating technique for the Gaussian mixture multi-Bernoulli filter",

abstract = "The multi-Bernoulli (MB) filter is a new attractive approach for multi-target filtering in the presence of clutter and detection uncertainty. However, the computational complexity grows as clutter density increases. The clutter measurements may also degrade the filtering accuracy. To eliminate the clutter measurements and reduce the computational complexity, gating technique for the Gaussian mixture MB (GM-MB) filter is proposed in this paper. Gating technique is designed for each hypothesized track to reduce the number of measurements by discarding most clutter measurements. Simulation results demonstrate the proposed approach can improve the real-time performance without the degradation of filtering performance.",

keywords = "Estimation, Filtering",

author = "Tongyang Jiang and Meiqin Liu and Senlin Zhang and Weihua Sheng",

year = "2014",

doi = "10.1109/ACC.2014.6858601",

language = "英语",

isbn = "9781479932726",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1096--1101",

booktitle = "2014 American Control Conference, ACC 2014",

note = "2014 American Control Conference, ACC 2014 ; Conference date: 04-06-2014 Through 06-06-2014",

}

Jiang, T, Liu, M, Zhang, S & Sheng, W 2014, Gating technique for the Gaussian mixture multi-Bernoulli filter. in 2014 American Control Conference, ACC 2014., 6858601, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 1096-1101, 2014 American Control Conference, ACC 2014, Portland, OR, United States, 4/06/14. https://doi.org/10.1109/ACC.2014.6858601

Gating technique for the Gaussian mixture multi-Bernoulli filter. / Jiang, Tongyang; Liu, Meiqin; Zhang, Senlin et al.
2014 American Control Conference, ACC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1096-1101 6858601 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Gating technique for the Gaussian mixture multi-Bernoulli filter

AU - Jiang, Tongyang

AU - Liu, Meiqin

AU - Zhang, Senlin

AU - Sheng, Weihua

PY - 2014

Y1 - 2014

N2 - The multi-Bernoulli (MB) filter is a new attractive approach for multi-target filtering in the presence of clutter and detection uncertainty. However, the computational complexity grows as clutter density increases. The clutter measurements may also degrade the filtering accuracy. To eliminate the clutter measurements and reduce the computational complexity, gating technique for the Gaussian mixture MB (GM-MB) filter is proposed in this paper. Gating technique is designed for each hypothesized track to reduce the number of measurements by discarding most clutter measurements. Simulation results demonstrate the proposed approach can improve the real-time performance without the degradation of filtering performance.

AB - The multi-Bernoulli (MB) filter is a new attractive approach for multi-target filtering in the presence of clutter and detection uncertainty. However, the computational complexity grows as clutter density increases. The clutter measurements may also degrade the filtering accuracy. To eliminate the clutter measurements and reduce the computational complexity, gating technique for the Gaussian mixture MB (GM-MB) filter is proposed in this paper. Gating technique is designed for each hypothesized track to reduce the number of measurements by discarding most clutter measurements. Simulation results demonstrate the proposed approach can improve the real-time performance without the degradation of filtering performance.

KW - Estimation

KW - Filtering

UR - https://www.scopus.com/pages/publications/84905708766

U2 - 10.1109/ACC.2014.6858601

DO - 10.1109/ACC.2014.6858601

M3 - 会议稿件

AN - SCOPUS:84905708766

SN - 9781479932726

T3 - Proceedings of the American Control Conference

SP - 1096

EP - 1101

BT - 2014 American Control Conference, ACC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 American Control Conference, ACC 2014

Y2 - 4 June 2014 through 6 June 2014

ER -

Gating technique for the Gaussian mixture multi-Bernoulli filter

Abstract

Publication series

Conference

Keywords

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