Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment

Budiman P.A. Rohman; Dayat Kurniawan; M. Tajul Miftahushudur

doi:10.1109/ELECSYM.2015.7380855

Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment

Budiman P.A. Rohman
, Dayat Kurniawan
, M. Tajul Miftahushudur

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

16 Scopus citations

Abstract

This paper presents the switching CA/OS CFAR using neural network for improving the radar target detection in non-homogeneous environment. This method uses one of between CA-CFAR and OS-CFAR as output threshold depends on the nearest value with the output of neural network. The neural network used in this research is the Multi-Layer Perceptron (MLP) consisted of two hidden layers. The input of neural network was as many as 3 consisted of CA and OS CFAR and Cell Under Test (CUT) value. The pattern of those inputs will be classified and recognized by the neural network by the training to calculate the preliminary threshold. That threshold will be compared to CA and OS CFAR to select the best final threshold. The method was examined with three simulated common radar cases including homogeneous background, multi target and clutter wall environment. The experiments show that the proposed method is capable to select properly based on the best performance of both CA and OS CFAR in homogeneous and non-homogeneous environments.

Original language	English
Title of host publication	Proceedings - 2015 International Electronics Symposium
Subtitle of host publication	Emerging Technology in Electronic and Information, IES 2015
Editors	Hendhi Hermawan, Ahmad Zainudin, Syechu Dwitya Nugraha, Erik Tridianto, Hendy Briantoro, Desy Intan Permatasari
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	280-283
Number of pages	4
ISBN (Electronic)	9781467393454
DOIs	https://doi.org/10.1109/ELECSYM.2015.7380855
State	Published - 12 Jan 2016
Externally published	Yes
Event	17th International Electronics Symposium, IES 2015 - Surabaya, Indonesia Duration: 29 Sep 2015 → 30 Sep 2015

Publication series

Name	Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015

Conference

Conference	17th International Electronics Symposium, IES 2015
Country/Territory	Indonesia
City	Surabaya
Period	29/09/15 → 30/09/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Cell Averaging (CA)
Constant False Alarm Rate (CFAR)
multi-layer perceptron (MLP)
neural network
Ordered Statistics (OS)
switching

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/ELECSYM.2015.7380855

Cite this

Rohman, B. P. A., Kurniawan, D., & Miftahushudur, M. T. (2016). Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment. In H. Hermawan, A. Zainudin, S. D. Nugraha, E. Tridianto, H. Briantoro, & D. I. Permatasari (Eds.), Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015 (pp. 280-283). Article 7380855 (Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELECSYM.2015.7380855

Rohman, Budiman P.A. ; Kurniawan, Dayat ; Miftahushudur, M. Tajul. / Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment. Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. editor / Hendhi Hermawan ; Ahmad Zainudin ; Syechu Dwitya Nugraha ; Erik Tridianto ; Hendy Briantoro ; Desy Intan Permatasari. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 280-283 (Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015).

@inproceedings{49c6e25489c74e59b58dcd0c2ce06256,

title = "Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment",

abstract = "This paper presents the switching CA/OS CFAR using neural network for improving the radar target detection in non-homogeneous environment. This method uses one of between CA-CFAR and OS-CFAR as output threshold depends on the nearest value with the output of neural network. The neural network used in this research is the Multi-Layer Perceptron (MLP) consisted of two hidden layers. The input of neural network was as many as 3 consisted of CA and OS CFAR and Cell Under Test (CUT) value. The pattern of those inputs will be classified and recognized by the neural network by the training to calculate the preliminary threshold. That threshold will be compared to CA and OS CFAR to select the best final threshold. The method was examined with three simulated common radar cases including homogeneous background, multi target and clutter wall environment. The experiments show that the proposed method is capable to select properly based on the best performance of both CA and OS CFAR in homogeneous and non-homogeneous environments.",

keywords = "Cell Averaging (CA), Constant False Alarm Rate (CFAR), multi-layer perceptron (MLP), neural network, Ordered Statistics (OS), switching",

author = "Rohman, \{Budiman P.A.\} and Dayat Kurniawan and Miftahushudur, \{M. Tajul\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th International Electronics Symposium, IES 2015 ; Conference date: 29-09-2015 Through 30-09-2015",

year = "2016",

month = jan,

day = "12",

doi = "10.1109/ELECSYM.2015.7380855",

language = "English",

series = "Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "280--283",

editor = "Hendhi Hermawan and Ahmad Zainudin and Nugraha, \{Syechu Dwitya\} and Erik Tridianto and Hendy Briantoro and Permatasari, \{Desy Intan\}",

booktitle = "Proceedings - 2015 International Electronics Symposium",

address = "United States",

}

Rohman, BPA, Kurniawan, D & Miftahushudur, MT 2016, Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment. in H Hermawan, A Zainudin, SD Nugraha, E Tridianto, H Briantoro & DI Permatasari (eds), Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015., 7380855, Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015, Institute of Electrical and Electronics Engineers Inc., pp. 280-283, 17th International Electronics Symposium, IES 2015, Surabaya, Indonesia, 29/09/15. https://doi.org/10.1109/ELECSYM.2015.7380855

Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment. / Rohman, Budiman P.A.; Kurniawan, Dayat; Miftahushudur, M. Tajul.
Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. ed. / Hendhi Hermawan; Ahmad Zainudin; Syechu Dwitya Nugraha; Erik Tridianto; Hendy Briantoro; Desy Intan Permatasari. Institute of Electrical and Electronics Engineers Inc., 2016. p. 280-283 7380855 (Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015).

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

TY - GEN

T1 - Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment

AU - Rohman, Budiman P.A.

AU - Kurniawan, Dayat

AU - Miftahushudur, M. Tajul

PY - 2016/1/12

Y1 - 2016/1/12

N2 - This paper presents the switching CA/OS CFAR using neural network for improving the radar target detection in non-homogeneous environment. This method uses one of between CA-CFAR and OS-CFAR as output threshold depends on the nearest value with the output of neural network. The neural network used in this research is the Multi-Layer Perceptron (MLP) consisted of two hidden layers. The input of neural network was as many as 3 consisted of CA and OS CFAR and Cell Under Test (CUT) value. The pattern of those inputs will be classified and recognized by the neural network by the training to calculate the preliminary threshold. That threshold will be compared to CA and OS CFAR to select the best final threshold. The method was examined with three simulated common radar cases including homogeneous background, multi target and clutter wall environment. The experiments show that the proposed method is capable to select properly based on the best performance of both CA and OS CFAR in homogeneous and non-homogeneous environments.

AB - This paper presents the switching CA/OS CFAR using neural network for improving the radar target detection in non-homogeneous environment. This method uses one of between CA-CFAR and OS-CFAR as output threshold depends on the nearest value with the output of neural network. The neural network used in this research is the Multi-Layer Perceptron (MLP) consisted of two hidden layers. The input of neural network was as many as 3 consisted of CA and OS CFAR and Cell Under Test (CUT) value. The pattern of those inputs will be classified and recognized by the neural network by the training to calculate the preliminary threshold. That threshold will be compared to CA and OS CFAR to select the best final threshold. The method was examined with three simulated common radar cases including homogeneous background, multi target and clutter wall environment. The experiments show that the proposed method is capable to select properly based on the best performance of both CA and OS CFAR in homogeneous and non-homogeneous environments.

KW - Cell Averaging (CA)

KW - Constant False Alarm Rate (CFAR)

KW - multi-layer perceptron (MLP)

KW - neural network

KW - Ordered Statistics (OS)

KW - switching

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U2 - 10.1109/ELECSYM.2015.7380855

DO - 10.1109/ELECSYM.2015.7380855

M3 - Conference contribution

AN - SCOPUS:84969951388

T3 - Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015

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EP - 283

BT - Proceedings - 2015 International Electronics Symposium

A2 - Hermawan, Hendhi

A2 - Zainudin, Ahmad

A2 - Nugraha, Syechu Dwitya

A2 - Tridianto, Erik

A2 - Briantoro, Hendy

A2 - Permatasari, Desy Intan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th International Electronics Symposium, IES 2015

Y2 - 29 September 2015 through 30 September 2015

ER -

Rohman BPA, Kurniawan D, Miftahushudur MT. Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment. In Hermawan H, Zainudin A, Nugraha SD, Tridianto E, Briantoro H, Permatasari DI, editors, Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 280-283. 7380855. (Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015). doi: 10.1109/ELECSYM.2015.7380855

Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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