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Sensor selection under unknown but bounded disturbances in multi- target tracking problem. / Erofeeva, Victoria; Granichin, Oleg; Granichina, Olga; Sergeenko, Anna; Trapitsin, Sergey.

27th Mediterranean Conference on Control and Automation, MED 2019 : Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 215-220 8798526 (Mediterranean Conference on Control and Automation).

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

Harvard

Erofeeva, V, Granichin, O, Granichina, O, Sergeenko, A & Trapitsin, S 2019, Sensor selection under unknown but bounded disturbances in multi- target tracking problem. in 27th Mediterranean Conference on Control and Automation, MED 2019 : Proceedings., 8798526, Mediterranean Conference on Control and Automation, Institute of Electrical and Electronics Engineers Inc., pp. 215-220, 27th Mediterranean Conference on Control and Automation , Akko, Israel, 1/07/19. https://doi.org/10.1109/MED.2019.8798526

APA

Erofeeva, V., Granichin, O., Granichina, O., Sergeenko, A., & Trapitsin, S. (2019). Sensor selection under unknown but bounded disturbances in multi- target tracking problem. In 27th Mediterranean Conference on Control and Automation, MED 2019 : Proceedings (pp. 215-220). [8798526] (Mediterranean Conference on Control and Automation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MED.2019.8798526

Vancouver

Erofeeva V, Granichin O, Granichina O, Sergeenko A, Trapitsin S. Sensor selection under unknown but bounded disturbances in multi- target tracking problem. In 27th Mediterranean Conference on Control and Automation, MED 2019 : Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 215-220. 8798526. (Mediterranean Conference on Control and Automation). https://doi.org/10.1109/MED.2019.8798526

Author

Erofeeva, Victoria ; Granichin, Oleg ; Granichina, Olga ; Sergeenko, Anna ; Trapitsin, Sergey. / Sensor selection under unknown but bounded disturbances in multi- target tracking problem. 27th Mediterranean Conference on Control and Automation, MED 2019 : Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 215-220 (Mediterranean Conference on Control and Automation).

BibTeX

@inproceedings{c31541090bdf448697ea7589ba401128,
title = "Sensor selection under unknown but bounded disturbances in multi- target tracking problem",
abstract = "The problem of sensor selection arises in various applications. In multi-target tracking, the main challenge is to select sensors for each target in such a way as to minimize the estimation error, taking into account the limitations of the computation and communication resources of the sensors. In this paper, we deal with two problems arising in sensor selection. First, we try to reduce the situations, in which selected sensors might be loaded more than the rest of the nodes. Secondly, we discard the assumption, requiring the measurement noise to have the Gaussian distribution. Instead of that, we consider the measurements corrupted by the unknown but bounded noise. We present a sensor selection strategy based on linear matrix inequalities and show its performance.",
keywords = "Clutter (information theory), Linear matrix inequalities, Communication resources, Estimation errors, Measurement Noise, Multi-target tracking, Sensor selection, Unknown but bounded, Unknown but bounded noise, target tracking",
author = "Victoria Erofeeva and Oleg Granichin and Olga Granichina and Anna Sergeenko and Sergey Trapitsin",
year = "2019",
month = jul,
day = "1",
doi = "10.1109/MED.2019.8798526",
language = "English",
isbn = "9781728128030",
series = "Mediterranean Conference on Control and Automation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "215--220",
booktitle = "27th Mediterranean Conference on Control and Automation, MED 2019",
address = "United States",
note = "27th Mediterranean Conference on Control and Automation , MED 2019 ; Conference date: 01-07-2019 Through 04-07-2019",

}

RIS

TY - GEN

T1 - Sensor selection under unknown but bounded disturbances in multi- target tracking problem

AU - Erofeeva, Victoria

AU - Granichin, Oleg

AU - Granichina, Olga

AU - Sergeenko, Anna

AU - Trapitsin, Sergey

PY - 2019/7/1

Y1 - 2019/7/1

N2 - The problem of sensor selection arises in various applications. In multi-target tracking, the main challenge is to select sensors for each target in such a way as to minimize the estimation error, taking into account the limitations of the computation and communication resources of the sensors. In this paper, we deal with two problems arising in sensor selection. First, we try to reduce the situations, in which selected sensors might be loaded more than the rest of the nodes. Secondly, we discard the assumption, requiring the measurement noise to have the Gaussian distribution. Instead of that, we consider the measurements corrupted by the unknown but bounded noise. We present a sensor selection strategy based on linear matrix inequalities and show its performance.

AB - The problem of sensor selection arises in various applications. In multi-target tracking, the main challenge is to select sensors for each target in such a way as to minimize the estimation error, taking into account the limitations of the computation and communication resources of the sensors. In this paper, we deal with two problems arising in sensor selection. First, we try to reduce the situations, in which selected sensors might be loaded more than the rest of the nodes. Secondly, we discard the assumption, requiring the measurement noise to have the Gaussian distribution. Instead of that, we consider the measurements corrupted by the unknown but bounded noise. We present a sensor selection strategy based on linear matrix inequalities and show its performance.

KW - Clutter (information theory)

KW - Linear matrix inequalities

KW - Communication resources

KW - Estimation errors

KW - Measurement Noise

KW - Multi-target tracking

KW - Sensor selection

KW - Unknown but bounded

KW - Unknown but bounded noise

KW - target tracking

UR - http://www.scopus.com/inward/record.url?scp=85071674649&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/sensor-selection-under-unknown-bounded-disturbances-multi-target-tracking-problem

U2 - 10.1109/MED.2019.8798526

DO - 10.1109/MED.2019.8798526

M3 - Conference contribution

SN - 9781728128030

T3 - Mediterranean Conference on Control and Automation

SP - 215

EP - 220

BT - 27th Mediterranean Conference on Control and Automation, MED 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Mediterranean Conference on Control and Automation

Y2 - 1 July 2019 through 4 July 2019

ER -

ID: 47479776