Publication detail

Scheduling of Multi-Function Sensor

KULMON, P. SUJA, J. BENKO, M.

Original Title

Scheduling of Multi-Function Sensor

Type

journal article - other

Language

English

Original Abstract

Multifunctional passive surveillance systems must implement several functions at the same time. However, due to hardware limitations, it is not possible to fulfill all of them. In this work, we define a complex model of a multifunctional sensor using multicriteria integer nonlinear optimization and analyze non-dominated optimal solutions on simulated data. We transform the task using the scalarization ϵ-constraint method and examine the effect of the ϵ parameter on the feasibility. Finally, we will compare two different applications of the rolling horizon, online optimization technique, to the defined problem of a multifunctional surveillance system.

Keywords

Sensor scheduling, multicriterial optimization, epsilon constraint method, sequential estimation DTMC stationary distribution, rolling horizon

Authors

KULMON, P.; SUJA, J.; BENKO, M.

Released

21. 11. 2023

Publisher

IEEE

ISBN

2832-7357

Periodical

IEEE Transactions on Radar Systems

Year of study

1

Number

1

State

United States of America

Pages from

729

Pages to

739

Pages count

11

URL

https://ieeexplore.ieee.org/document/10325557

BibTex

@article{BUT187799,
  author="KULMON, P. and SUJA, J. and BENKO, M.",
  title="Scheduling of Multi-Function Sensor",
  journal="IEEE Transactions on Radar Systems",
  year="2023",
  volume="1",
  number="1",
  pages="729--739",
  doi="10.1109/TRS.2023.3335208",
  issn="2832-7357",
  url="https://ieeexplore.ieee.org/document/10325557"
}