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

Victoria Erofeeva, Oleg Granichin, Olga Granichina, Anna Sergeenko, Sergey Trapitsin

Research outputpeer-review

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.

Original languageEnglish
Title of host publication27th Mediterranean Conference on Control and Automation, MED 2019
Subtitle of host publicationProceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages215-220
ISBN (Electronic)9781728128030
DOIs
Publication statusPublished - 1 Jul 2019
Event27th Mediterranean Conference on Control and Automation, MED 2019 - Akko
Duration: 1 Jul 20194 Jul 2019

Conference

Conference27th Mediterranean Conference on Control and Automation, MED 2019
CountryIsrael
CityAkko
Period1/07/194/07/19

Fingerprint

Multi-target Tracking
Target tracking
Disturbance
Unknown
Sensor
Sensors
Gaussian distribution
Estimation Error
Linear matrix inequalities
Error analysis
Matrix Inequality
Linear Inequalities
Minimise
Resources
Target
Communication
Vertex of a graph

Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Modelling and Simulation

Cite this

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] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MED.2019.8798526
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
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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, Institute of Electrical and Electronics Engineers Inc., pp. 215-220, Akko, 1/07/19. https://doi.org/10.1109/MED.2019.8798526

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.

Research outputpeer-review

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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.

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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 https://doi.org/10.1109/MED.2019.8798526