A Window-Based Approach for PRI Type Recognition in Streaming Data

Şefika Çağlan; Ali Değirmenci; İlyas Çankaya

Article Details

A Window-Based Approach for PRI Type Recognition in Streaming Data

Authors:

Şefika Çağlan | Ali Değirmenci | İlyas Çankaya

Publisher:

Kirikkale University

Main Topics:

Electronic Warfare

Journal:

International Journal of Engineering Research and Development Vol.17 Issue 2, pp.272-281

Document Type:

Article

Publication Date:

7/2025

Document Language:

English

Document ID (Org No.):

2001341531

pISSN:

1308-5506

Keywords:

Abstract:

 Pulse Repetition Interval PRI type detection is a fundamental step in radar identification. Therefore, many methods have been proposed for PRI type identification. In this study, a new online sliding window-based PRI type detection method is proposed. Initially, the method takes the hyperparameters of window size and window shifting amount from the operator. The method then waits for data to be collected until the number of incoming data samples reaches 1.5 times the window size. The window is shifted over the Difference of Time of Arrival parameter of the incoming Pulse Descriptor Word data and the PRI type is determined according to the change characteristics within the window. The experiments are performed on 13 different datasets containing possible scenarios of PRI types. The results of the experiments show that proposed method can distinguish between constant, dwellswitch, sliding-up, and sliding-down PRI types.

 Pulse Repetition Interval PRI type detection is a fundamental step in radar identification. Therefore, many methods have been proposed for PRI type identification. In this study, a new online sliding window-based PRI type detection method is proposed. Initially, the method takes the hyperparameters of window size and window shifting amount from the operator. The method then waits for data to be collected until the number of incoming data samples reaches 1.5 times the window size. The window is shifted over the Difference of Time of Arrival parameter of the incoming Pulse Descriptor Word data and the PRI type is determined according to the change characteristics within the window. The experiments are performed on 13 different datasets containing possible scenarios of PRI types. The results of the experiments show that proposed method can distinguish between constant, dwellswitch, sliding-up, and sliding-down PRI types.

 Pulse Repetition Interval PRI type detection is a fundamental step in radar identification. Therefore, many methods have been proposed for PRI type identification. In this study, a new online sliding window-based PRI type detection method is proposed. Initially, the method takes the hyperparameters of window size and window shifting amount from the operator. The method then waits for data to be collected until the number of incoming data samples reaches 1.5 times the window size. The window is shifted over the Difference of Time of Arrival parameter of the incoming Pulse Descriptor Word data and the PRI type is determined according to the change characteristics within the window. The experiments are performed on 13 different datasets containing possible scenarios of PRI types. The results of the experiments show that proposed method can distinguish between constant, dwellswitch, sliding-up, and sliding-down PRI types.

 Darbe Tekrarlama Aralığı DTA tipinin tespiti radar tanımlamasında temel bir adımdır. Bu nedenle, PRI tipi tanımlama için birçok yöntem önerilmiştir. Sunulan çalışmada, yeni bir çevrimiçi kayan pencere tabanlı PRI tipi tespit yöntemi önerilmiştir. Metot başlangıçta operatörden pencere boyutu ve pencere kaydırma miktarı hiperparametrelerini alır. Sonrasında, gelen veri örneklerinin sayısı pencere boyutunun 1,5 katına ulaşana kadar verilerin toplanmasını bekler. Pencere, gelen Darbe Tanımlayıcı Kelime verilerinin Varış Zamanı Farkı üzerinden kaydırılır ve pencere içindeki değişim özelliklerine göre PRI tipi belirlenir. Deneyler, PRI türlerinin olası senaryolarını içeren 13 farklı veri kümesi üzerinde gerçekleştirilmiştir. Yapılan deneylerin sonuçlarına göre önerilen yöntem sabit, bekledeğiştir, yukarı kayan ve aşağı kayan PRI türlerini ayırt edebildiğini göstermektedir.

Article Details

A Window-Based Approach for PRI Type Recognition in Streaming Data

Authors:

Şefika Çağlan | Ali Değirmenci | İlyas Çankaya

Publisher:

Kirikkale University

Main Topics:

Electronic Warfare

Journal:

International Journal of Engineering Research and Development Vol.17 Issue 2, pp.272-281

Document Type:

Article

Publication Date:

7/2025

Document Language:

English

Document ID (Org No.):

2001341531

pISSN:

1308-5506

pulse repetition interval (PRI)

streaming data

constant PRI

dwell&switch PRI

sliding window

electronic warfaredarbe tekrar aralığı (DTA)

veri akışı

sabit DTA

bekle&değiştir DTA

kayan pencere

elektronik harp

Issues

Article Details

Authors: Şefika Çağlan | Ali Değirmenci | İlyas Çankaya

Publisher: Kirikkale University

Main Topics: Electronic Warfare

Journal: International Journal of Engineering Research and Development Vol.17 Issue 2, pp.272-281

Document Type: Article

Publication Date: 7/2025

Document Language: English

Document ID (Org No.): 2001341531

pISSN: 1308-5506

Issues

Authors:

Şefika Çağlan | Ali Değirmenci | İlyas Çankaya

Publisher:

Kirikkale University

Main Topics:

Electronic Warfare

Journal:

International Journal of Engineering Research and Development Vol.17 Issue 2, pp.272-281

Document Type:

Article

Publication Date:

7/2025

Document Language:

English

Document ID (Org No.):

2001341531

pISSN:

1308-5506