The wind farm simulator of reflected signals in primary radar system

Jan Pidanic; Karel Juryca; Heru Suhartanto

doi:10.1109/ICACSIS.2017.8355010

The wind farm simulator of reflected signals in primary radar system

Jan Pidanic
, Karel Juryca
, Heru Suhartanto

Department of Computer Science

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

6 Citations (Scopus)

Abstract

The spreading of the renewable energy especially wind farms, increases possibilities of negative influence on the detection capabilities of primary radar systems. The paper deals with modelling of a simulator for reflected signals from wind farms. The developed simulator enables echo simulation from wind farms, with many variable input parameters, that helps with analysis of influence. The simulator simplifies and speeds up the development of wind farm mitigation techniques, on primary radar systems. The paper describes characterization of the model of the simulator that includes multipath reflection and a brief analysis.

Original language	English
Title of host publication	2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	41-45
Number of pages	5
ISBN (Electronic)	9781538631720
DOIs	https://doi.org/10.1109/ICACSIS.2017.8355010
Publication status	Published - 2 Jul 2017
Event	9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017 - Jakarta, Indonesia Duration: 28 Oct 2017 → 29 Oct 2017

Publication series

Name	2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
Volume	2018-January

Conference

Conference	9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
Country/Territory	Indonesia
City	Jakarta
Period	28/10/17 → 29/10/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Doppler shift
Radar Cross Section
clutter
power plant
primary radar system
reflection
wind farm
wind turbine

Access to Document

10.1109/ICACSIS.2017.8355010

Cite this

Pidanic, J., Juryca, K., & Suhartanto, H. (2017). The wind farm simulator of reflected signals in primary radar system. In 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017 (pp. 41-45). (2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACSIS.2017.8355010

Pidanic, Jan ; Juryca, Karel ; Suhartanto, Heru. / The wind farm simulator of reflected signals in primary radar system. 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 41-45 (2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017).

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title = "The wind farm simulator of reflected signals in primary radar system",

abstract = "The spreading of the renewable energy especially wind farms, increases possibilities of negative influence on the detection capabilities of primary radar systems. The paper deals with modelling of a simulator for reflected signals from wind farms. The developed simulator enables echo simulation from wind farms, with many variable input parameters, that helps with analysis of influence. The simulator simplifies and speeds up the development of wind farm mitigation techniques, on primary radar systems. The paper describes characterization of the model of the simulator that includes multipath reflection and a brief analysis.",

keywords = "Doppler shift, Radar Cross Section, clutter, power plant, primary radar system, reflection, wind farm, wind turbine",

author = "Jan Pidanic and Karel Juryca and Heru Suhartanto",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017 ; Conference date: 28-10-2017 Through 29-10-2017",

year = "2017",

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doi = "10.1109/ICACSIS.2017.8355010",

language = "English",

series = "2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017",

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Pidanic, J, Juryca, K & Suhartanto, H 2017, The wind farm simulator of reflected signals in primary radar system. in 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017. 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 41-45, 9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017, Jakarta, Indonesia, 28/10/17. https://doi.org/10.1109/ICACSIS.2017.8355010

The wind farm simulator of reflected signals in primary radar system. / Pidanic, Jan; Juryca, Karel; Suhartanto, Heru.
2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 41-45 (2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017; Vol. 2018-January).

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

TY - GEN

T1 - The wind farm simulator of reflected signals in primary radar system

AU - Pidanic, Jan

AU - Juryca, Karel

AU - Suhartanto, Heru

PY - 2017/7/2

Y1 - 2017/7/2

N2 - The spreading of the renewable energy especially wind farms, increases possibilities of negative influence on the detection capabilities of primary radar systems. The paper deals with modelling of a simulator for reflected signals from wind farms. The developed simulator enables echo simulation from wind farms, with many variable input parameters, that helps with analysis of influence. The simulator simplifies and speeds up the development of wind farm mitigation techniques, on primary radar systems. The paper describes characterization of the model of the simulator that includes multipath reflection and a brief analysis.

AB - The spreading of the renewable energy especially wind farms, increases possibilities of negative influence on the detection capabilities of primary radar systems. The paper deals with modelling of a simulator for reflected signals from wind farms. The developed simulator enables echo simulation from wind farms, with many variable input parameters, that helps with analysis of influence. The simulator simplifies and speeds up the development of wind farm mitigation techniques, on primary radar systems. The paper describes characterization of the model of the simulator that includes multipath reflection and a brief analysis.

KW - Doppler shift

KW - Radar Cross Section

KW - clutter

KW - power plant

KW - primary radar system

KW - reflection

KW - wind farm

KW - wind turbine

UR - https://www.scopus.com/pages/publications/85050913605

U2 - 10.1109/ICACSIS.2017.8355010

DO - 10.1109/ICACSIS.2017.8355010

M3 - Conference contribution

AN - SCOPUS:85050913605

T3 - 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017

SP - 41

EP - 45

BT - 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017

Y2 - 28 October 2017 through 29 October 2017

ER -

Pidanic J, Juryca K, Suhartanto H. The wind farm simulator of reflected signals in primary radar system. In 2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 41-45. (2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017). doi: 10.1109/ICACSIS.2017.8355010

The wind farm simulator of reflected signals in primary radar system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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