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Journals / Gazi University Journal of Science / 2005 / Cilt: 18 - Sayı: 2

AN INTELLIGENT TARGET RECOGNITION SYSTEM BASED ON PERIODOGRAM FOR PULSED RADAR SYSTEMSPERIODOGRAM FOR PULSED RADAR SYSTEMS

DARBELİ RADAR SİSTEMLERİNDE GELİŞTİRİLEN PERİODOGRAM ÇIKARIMLI AKILLI HEDEF TANIMA

Engin AVCI
İbrahim TÜRKOĞLU
Mustafa POYRAZ
Pages
259–272
Publication Date
2010-08-13
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to developed feature extraction method, the classifier performances were evaluated with radar signals on the target recognition.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:ABSTRACTIn this study, a pattern recognition system is developed for automatic classification of the radar target signals.
📊
Key Findings & Data:For feature extraction which is an important subset of the pattern recognition system, a new method which is based on periodogram power spectral density and intelligent classifier is proposed.
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Conclusion & Impact:According to developed feature extraction method, the classifier performances were evaluated with radar signals on the target recognition.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Radar hedef sınıflandırma · güç spektrumu · darbeli radar

Abstract

ABSTRACTIn this study, a pattern recognition system is developed for automatic classification of the radar target signals. For feature extraction which is an important subset of the pattern recognition system, a new method which is based on periodogram power spectral density and intelligent classifier is proposed. Artificial neural network and adaptive network based fuzzy inference system were used as an intelligent classifier respectively. Radar signals were obtained from pulse radar system for various targets. According to developed feature extraction method, the classifier performances were evaluated with radar signals on the target recognition.

Özet

Bu çalışmada, radar hedef işaretlerini sınıflamak üzere akıllı örüntü tanıma sistemi geliştirilmiştir. Örüntü tanımanın önemli bir kısmı olan özellik çıkarma için periodogram güç spektrum yoğunluğu ve akıllı sınıflandırıcı temelli bir yöntem sunulmuştur. Akıllı sınıflandırıcı olarak, yapay sinir ağı ve uyarlamalı yapay sinir ağı temelli bulanık çıkarım sınıflandırıcısı kullanılmıştır. Radar işaretleri, farklı hedefler için darbeli radar sisteminden elde edilmiştir. Her iki sınıflandırıcının başarımları, geliştirilen özellik çıkarma yöntemine göre radar işaretleri ile hedef tanımada değerlendirilmiştir

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Cite This Article

AVCI, E., TÜRKOĞLU, İ., POYRAZ, M. (2010). AN INTELLIGENT TARGET RECOGNITION SYSTEM BASED ON PERIODOGRAM FOR PULSED RADAR SYSTEMSPERIODOGRAM FOR PULSED RADAR SYSTEMS. Gazi University Journal of Science, Cilt: 18 - Sayı: 2, 259–272. https://ajindex.com/articles/255326

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