Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors

M. H. Jaward; D. Bull; N. Canagarajah

doi:10.1109/NSSPW.2006.4378832

Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors

M. H. Jaward, D. Bull, N. Canagarajah

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

Abstract

Nonlinear distributed tracking for a single target is addressed in this paper. This problem consists of tracking a target of interest while moving the sensors to 'best' positions according to an critera appropriate for the problem, Both target tracking and manoeuvring of sensors are carried out jointly using a novel Sequential Monte Carlo technique. The proposed technique is illustrated using a bearing-only problem and simulations are used to compare the performance of the proposed technique with distributed tracking using fixed sensors.

Original language	English
Title of host publication	NSSPW - Nonlinear Statistical Signal Processing Workshop 2006
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	113-116
Number of pages	4
ISBN (Print)	1424405815, 9781424405817
DOIs	https://doi.org/10.1109/NSSPW.2006.4378832
Publication status	Published - 2006
Externally published	Yes
Event	NSSPW - Nonlinear Statistical Signal Processing Workshop 2006 - Cambridge, United Kingdom Duration: 13 Sept 2006 → 15 Sept 2006

Conference

Conference	NSSPW - Nonlinear Statistical Signal Processing Workshop 2006
Country/Territory	United Kingdom
City	Cambridge
Period	13/09/06 → 15/09/06

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10.1109/NSSPW.2006.4378832

Cite this

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title = "Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors",

abstract = "Nonlinear distributed tracking for a single target is addressed in this paper. This problem consists of tracking a target of interest while moving the sensors to 'best' positions according to an critera appropriate for the problem, Both target tracking and manoeuvring of sensors are carried out jointly using a novel Sequential Monte Carlo technique. The proposed technique is illustrated using a bearing-only problem and simulations are used to compare the performance of the proposed technique with distributed tracking using fixed sensors.",

author = "Jaward, {M. H.} and D. Bull and N. Canagarajah",

year = "2006",

doi = "10.1109/NSSPW.2006.4378832",

language = "English",

isbn = "1424405815",

pages = "113--116",

booktitle = "NSSPW - Nonlinear Statistical Signal Processing Workshop 2006",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

}

Jaward, MH, Bull, D & Canagarajah, N 2006, Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors. in NSSPW - Nonlinear Statistical Signal Processing Workshop 2006. IEEE, Institute of Electrical and Electronics Engineers, pp. 113-116, NSSPW - Nonlinear Statistical Signal Processing Workshop 2006, Cambridge, United Kingdom, 13/09/06. https://doi.org/10.1109/NSSPW.2006.4378832

Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors. / Jaward, M. H.; Bull, D.; Canagarajah, N.
NSSPW - Nonlinear Statistical Signal Processing Workshop 2006. IEEE, Institute of Electrical and Electronics Engineers, 2006. p. 113-116.

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

TY - GEN

T1 - Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors

AU - Jaward, M. H.

AU - Bull, D.

AU - Canagarajah, N.

PY - 2006

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N2 - Nonlinear distributed tracking for a single target is addressed in this paper. This problem consists of tracking a target of interest while moving the sensors to 'best' positions according to an critera appropriate for the problem, Both target tracking and manoeuvring of sensors are carried out jointly using a novel Sequential Monte Carlo technique. The proposed technique is illustrated using a bearing-only problem and simulations are used to compare the performance of the proposed technique with distributed tracking using fixed sensors.

AB - Nonlinear distributed tracking for a single target is addressed in this paper. This problem consists of tracking a target of interest while moving the sensors to 'best' positions according to an critera appropriate for the problem, Both target tracking and manoeuvring of sensors are carried out jointly using a novel Sequential Monte Carlo technique. The proposed technique is illustrated using a bearing-only problem and simulations are used to compare the performance of the proposed technique with distributed tracking using fixed sensors.

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U2 - 10.1109/NSSPW.2006.4378832

DO - 10.1109/NSSPW.2006.4378832

M3 - Conference Paper

AN - SCOPUS:48049083962

SN - 1424405815

SN - 9781424405817

SP - 113

EP - 116

BT - NSSPW - Nonlinear Statistical Signal Processing Workshop 2006

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - NSSPW - Nonlinear Statistical Signal Processing Workshop 2006

Y2 - 13 September 2006 through 15 September 2006

ER -

Distributed tracking with sequential Monte Carlo methods for manoeuvrable sensors

Abstract

Conference

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