Detail publikace

Scheduling of Multi-Function Sensor

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

Originální název

Scheduling of Multi-Function Sensor

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

21. 11. 2023

Nakladatel

IEEE

ISSN

2832-7357

Periodikum

IEEE Transactions on Radar Systems

Ročník

1

Číslo

1

Stát

Spojené státy americké

Strany od

729

Strany do

739

Strany počet

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"
}