H∞ filtering with diagonal interacting multiple model algorithm for maneuvering target tracking

X. Fu; Y. Jia; J. Du; J. Zhang; W. Li; X. Liu

H_∞ filtering with diagonal interacting multiple model algorithm for maneuvering target tracking

X. Fu, Y. Jia, J. Du, J. Zhang, W. Li, X. Liu

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

Abstract

This paper is devoted to the problem of state estimate of discrete-time stochastic systems with Markov jump parameters. A robust algorithm-diagonal interacting multiple model algorithm based on H_∞ filtering (DIMMH) is presented for maneuvering target tracking when measurement noise is of unknown statistics. Extensive Monte Carlo simulations show the effectiveness and superiority of the proposed algorithm.

Original language	English
Title of host publication	2013 American Control Conference, ACC 2013
Pages	6187-6192
Number of pages	6
Publication status	Published - 2013
Externally published	Yes
Event	2013 1st American Control Conference, ACC 2013 - Washington, DC, United States Duration: 17 Jun 2013 → 19 Jun 2013

Publication series

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

Conference

Conference	2013 1st American Control Conference, ACC 2013
Country/Territory	United States
City	Washington, DC
Period	17/06/13 → 19/06/13

Cite this

@inproceedings{52ba304c7ea0411f8909e9892f73ff7b,

title = "H∞ filtering with diagonal interacting multiple model algorithm for maneuvering target tracking",

abstract = "This paper is devoted to the problem of state estimate of discrete-time stochastic systems with Markov jump parameters. A robust algorithm-diagonal interacting multiple model algorithm based on H∞ filtering (DIMMH) is presented for maneuvering target tracking when measurement noise is of unknown statistics. Extensive Monte Carlo simulations show the effectiveness and superiority of the proposed algorithm.",

author = "X. Fu and Y. Jia and J. Du and J. Zhang and W. Li and X. Liu",

year = "2013",

language = "English",

isbn = "9781479901777",

series = "Proceedings of the American Control Conference",

pages = "6187--6192",

booktitle = "2013 American Control Conference, ACC 2013",

note = "2013 1st American Control Conference, ACC 2013 ; Conference date: 17-06-2013 Through 19-06-2013",

}

TY - GEN

T1 - H∞ filtering with diagonal interacting multiple model algorithm for maneuvering target tracking

AU - Fu, X.

AU - Jia, Y.

AU - Du, J.

AU - Zhang, J.

AU - Li, W.

AU - Liu, X.

PY - 2013

Y1 - 2013

N2 - This paper is devoted to the problem of state estimate of discrete-time stochastic systems with Markov jump parameters. A robust algorithm-diagonal interacting multiple model algorithm based on H∞ filtering (DIMMH) is presented for maneuvering target tracking when measurement noise is of unknown statistics. Extensive Monte Carlo simulations show the effectiveness and superiority of the proposed algorithm.

AB - This paper is devoted to the problem of state estimate of discrete-time stochastic systems with Markov jump parameters. A robust algorithm-diagonal interacting multiple model algorithm based on H∞ filtering (DIMMH) is presented for maneuvering target tracking when measurement noise is of unknown statistics. Extensive Monte Carlo simulations show the effectiveness and superiority of the proposed algorithm.

UR - http://www.scopus.com/inward/record.url?scp=84883518525&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84883518525

SN - 9781479901777

T3 - Proceedings of the American Control Conference

SP - 6187

EP - 6192

BT - 2013 American Control Conference, ACC 2013

T2 - 2013 1st American Control Conference, ACC 2013

Y2 - 17 June 2013 through 19 June 2013

ER -

H_∞ filtering with diagonal interacting multiple model algorithm for maneuvering target tracking

Abstract

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