On optimal mobile RSSI-sensor positioning for multi target tracking

Jonathan Beaudeau; Monica F. Bugallo; Petar M. Djuric

doi:10.1109/ICASSP.2015.7178727

On optimal mobile RSSI-sensor positioning for multi target tracking

Jonathan Beaudeau
, Monica F. Bugallo
, Petar M. Djuric

Stony Brook University

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

1 Scopus citations

Abstract

This paper presents an analysis on optimal mobile sensor configuration for multiple-target-tracking (MTT) with Received-Signal-Strength-Indicator (RSSI) based measurements. The analysis is based on the underlying assumption that the complexity of this inherently high-dimensional problem is reduced by employing a multi-agent distributed tracking system. The assumed system assigns a single target of interest (TOI) to each agent and treats the remaining targets as interference sources. The measurement interference due to these sources is effectively compensated for by exchanging TOI information between agents, and fusing this information during the estimation process. Proper sensor placement within such an environment represents a unique challenge and optimal solutions are fundamentally different from a conventional MTT scenario. The main results of this paper include formulation and subsequent simplification of the optimality criterion along with a suboptimal solution yielding competitive performance and superior efficiency. Simulation results are presented demonstrating the performance of the proposed solution and comparisons are made to existing techniques.

Original language	English
Title of host publication	2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4025-4029
Number of pages	5
ISBN (Electronic)	9781467369978
DOIs	https://doi.org/10.1109/ICASSP.2015.7178727
State	Published - Aug 4 2015
Event	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: Apr 19 2014 → Apr 24 2014

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2015-August
ISSN (Print)	1520-6149

Conference

Conference	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Country/Territory	Australia
City	Brisbane
Period	04/19/14 → 04/24/14

Keywords

mobile sensors
multiple target tracking
RSSI-based target tracking
sensor positioning

Access to Document

10.1109/ICASSP.2015.7178727

Cite this

Beaudeau, J., Bugallo, M. F., & Djuric, P. M. (2015). On optimal mobile RSSI-sensor positioning for multi target tracking. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings (pp. 4025-4029). Article 7178727 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2015.7178727

Beaudeau, Jonathan ; Bugallo, Monica F. ; Djuric, Petar M. / On optimal mobile RSSI-sensor positioning for multi target tracking. 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 4025-4029 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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title = "On optimal mobile RSSI-sensor positioning for multi target tracking",

abstract = "This paper presents an analysis on optimal mobile sensor configuration for multiple-target-tracking (MTT) with Received-Signal-Strength-Indicator (RSSI) based measurements. The analysis is based on the underlying assumption that the complexity of this inherently high-dimensional problem is reduced by employing a multi-agent distributed tracking system. The assumed system assigns a single target of interest (TOI) to each agent and treats the remaining targets as interference sources. The measurement interference due to these sources is effectively compensated for by exchanging TOI information between agents, and fusing this information during the estimation process. Proper sensor placement within such an environment represents a unique challenge and optimal solutions are fundamentally different from a conventional MTT scenario. The main results of this paper include formulation and subsequent simplification of the optimality criterion along with a suboptimal solution yielding competitive performance and superior efficiency. Simulation results are presented demonstrating the performance of the proposed solution and comparisons are made to existing techniques.",

keywords = "mobile sensors, multiple target tracking, RSSI-based target tracking, sensor positioning",

author = "Jonathan Beaudeau and Bugallo, \{Monica F.\} and Djuric, \{Petar M.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 ; Conference date: 19-04-2014 Through 24-04-2014",

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doi = "10.1109/ICASSP.2015.7178727",

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Beaudeau, J, Bugallo, MF & Djuric, PM 2015, On optimal mobile RSSI-sensor positioning for multi target tracking. in 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings., 7178727, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2015-August, Institute of Electrical and Electronics Engineers Inc., pp. 4025-4029, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, Brisbane, Australia, 04/19/14. https://doi.org/10.1109/ICASSP.2015.7178727

On optimal mobile RSSI-sensor positioning for multi target tracking. / Beaudeau, Jonathan; Bugallo, Monica F.; Djuric, Petar M.
2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 4025-4029 7178727 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August).

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

TY - GEN

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AU - Bugallo, Monica F.

AU - Djuric, Petar M.

PY - 2015/8/4

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N2 - This paper presents an analysis on optimal mobile sensor configuration for multiple-target-tracking (MTT) with Received-Signal-Strength-Indicator (RSSI) based measurements. The analysis is based on the underlying assumption that the complexity of this inherently high-dimensional problem is reduced by employing a multi-agent distributed tracking system. The assumed system assigns a single target of interest (TOI) to each agent and treats the remaining targets as interference sources. The measurement interference due to these sources is effectively compensated for by exchanging TOI information between agents, and fusing this information during the estimation process. Proper sensor placement within such an environment represents a unique challenge and optimal solutions are fundamentally different from a conventional MTT scenario. The main results of this paper include formulation and subsequent simplification of the optimality criterion along with a suboptimal solution yielding competitive performance and superior efficiency. Simulation results are presented demonstrating the performance of the proposed solution and comparisons are made to existing techniques.

AB - This paper presents an analysis on optimal mobile sensor configuration for multiple-target-tracking (MTT) with Received-Signal-Strength-Indicator (RSSI) based measurements. The analysis is based on the underlying assumption that the complexity of this inherently high-dimensional problem is reduced by employing a multi-agent distributed tracking system. The assumed system assigns a single target of interest (TOI) to each agent and treats the remaining targets as interference sources. The measurement interference due to these sources is effectively compensated for by exchanging TOI information between agents, and fusing this information during the estimation process. Proper sensor placement within such an environment represents a unique challenge and optimal solutions are fundamentally different from a conventional MTT scenario. The main results of this paper include formulation and subsequent simplification of the optimality criterion along with a suboptimal solution yielding competitive performance and superior efficiency. Simulation results are presented demonstrating the performance of the proposed solution and comparisons are made to existing techniques.

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ER -

Beaudeau J, Bugallo MF , Djuric PM. On optimal mobile RSSI-sensor positioning for multi target tracking. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 4025-4029. 7178727. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2015.7178727

On optimal mobile RSSI-sensor positioning for multi target tracking

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