Performance comparison of several nonlinear multi-Bernoulli filters for multi-target filtering

Meiqin Liu; Tongyang Jiang; Xie Wang; Senlin Zhang

Performance comparison of several nonlinear multi-Bernoulli filters for multi-target filtering

Meiqin Liu
, Tongyang Jiang
, Xie Wang
, Senlin Zhang

Zhejiang University

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

3 Scopus citations

Abstract

In this paper, the performance of four nonlinear multi-Bernoulli (MB) filters for multi-target filtering is compared in the presence of clutter and detection uncertainty. The filters under consideration are the extended Kalman (EK) Gaussian mixture (GM) MB filter, the unscented Kalman (UK) GM-MB filter, the cubature Kalman (CK) GM-MB filter, and the sequential Monte Carlo (SMC) MB filter. Monte Carlo (MC) analyses are presented for these four filters under different clutter density and different detection probability. Then these filters are evaluated in terms of both the Optimal Sub-Pattern Assignment (OSPA) distance and their respective computing time. Simulation results show that the CK-GM-MB filter is an attractive nonlinear MB filtering approach.

Original language	English
Title of host publication	FUSION 2014 - 17th International Conference on Information Fusion
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9788490123553
State	Published - 3 Oct 2014
Externally published	Yes
Event	17th International Conference on Information Fusion, FUSION 2014 - Salamanca, Spain Duration: 7 Jul 2014 → 10 Jul 2014

Publication series

Name	FUSION 2014 - 17th International Conference on Information Fusion

Conference

Conference	17th International Conference on Information Fusion, FUSION 2014
Country/Territory	Spain
City	Salamanca
Period	7/07/14 → 10/07/14

Cite this

@inproceedings{dacb05bbf7df479684f4902fb65eb665,

title = "Performance comparison of several nonlinear multi-Bernoulli filters for multi-target filtering",

abstract = "In this paper, the performance of four nonlinear multi-Bernoulli (MB) filters for multi-target filtering is compared in the presence of clutter and detection uncertainty. The filters under consideration are the extended Kalman (EK) Gaussian mixture (GM) MB filter, the unscented Kalman (UK) GM-MB filter, the cubature Kalman (CK) GM-MB filter, and the sequential Monte Carlo (SMC) MB filter. Monte Carlo (MC) analyses are presented for these four filters under different clutter density and different detection probability. Then these filters are evaluated in terms of both the Optimal Sub-Pattern Assignment (OSPA) distance and their respective computing time. Simulation results show that the CK-GM-MB filter is an attractive nonlinear MB filtering approach.",

author = "Meiqin Liu and Tongyang Jiang and Xie Wang and Senlin Zhang",

note = "Publisher Copyright: {\textcopyright} 2014 International Society of Information Fusion.; 17th International Conference on Information Fusion, FUSION 2014 ; Conference date: 07-07-2014 Through 10-07-2014",

year = "2014",

month = oct,

day = "3",

language = "英语",

series = "FUSION 2014 - 17th International Conference on Information Fusion",

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

booktitle = "FUSION 2014 - 17th International Conference on Information Fusion",

}

Liu, M, Jiang, T, Wang, X & Zhang, S 2014, Performance comparison of several nonlinear multi-Bernoulli filters for multi-target filtering. in FUSION 2014 - 17th International Conference on Information Fusion., 6916004, FUSION 2014 - 17th International Conference on Information Fusion, Institute of Electrical and Electronics Engineers Inc., 17th International Conference on Information Fusion, FUSION 2014, Salamanca, Spain, 7/07/14.

Performance comparison of several nonlinear multi-Bernoulli filters for multi-target filtering. / Liu, Meiqin; Jiang, Tongyang; Wang, Xie et al.
FUSION 2014 - 17th International Conference on Information Fusion. Institute of Electrical and Electronics Engineers Inc., 2014. 6916004 (FUSION 2014 - 17th International Conference on Information Fusion).

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

TY - GEN

T1 - Performance comparison of several nonlinear multi-Bernoulli filters for multi-target filtering

AU - Liu, Meiqin

AU - Jiang, Tongyang

AU - Wang, Xie

AU - Zhang, Senlin

PY - 2014/10/3

Y1 - 2014/10/3

N2 - In this paper, the performance of four nonlinear multi-Bernoulli (MB) filters for multi-target filtering is compared in the presence of clutter and detection uncertainty. The filters under consideration are the extended Kalman (EK) Gaussian mixture (GM) MB filter, the unscented Kalman (UK) GM-MB filter, the cubature Kalman (CK) GM-MB filter, and the sequential Monte Carlo (SMC) MB filter. Monte Carlo (MC) analyses are presented for these four filters under different clutter density and different detection probability. Then these filters are evaluated in terms of both the Optimal Sub-Pattern Assignment (OSPA) distance and their respective computing time. Simulation results show that the CK-GM-MB filter is an attractive nonlinear MB filtering approach.

AB - In this paper, the performance of four nonlinear multi-Bernoulli (MB) filters for multi-target filtering is compared in the presence of clutter and detection uncertainty. The filters under consideration are the extended Kalman (EK) Gaussian mixture (GM) MB filter, the unscented Kalman (UK) GM-MB filter, the cubature Kalman (CK) GM-MB filter, and the sequential Monte Carlo (SMC) MB filter. Monte Carlo (MC) analyses are presented for these four filters under different clutter density and different detection probability. Then these filters are evaluated in terms of both the Optimal Sub-Pattern Assignment (OSPA) distance and their respective computing time. Simulation results show that the CK-GM-MB filter is an attractive nonlinear MB filtering approach.

UR - https://www.scopus.com/pages/publications/84910686128

M3 - 会议稿件

AN - SCOPUS:84910686128

T3 - FUSION 2014 - 17th International Conference on Information Fusion

BT - FUSION 2014 - 17th International Conference on Information Fusion

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th International Conference on Information Fusion, FUSION 2014

Y2 - 7 July 2014 through 10 July 2014

ER -

Performance comparison of several nonlinear multi-Bernoulli filters for multi-target filtering

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