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

Year 2005, Volume: 18 Issue: 2, 259 - 272, 13.08.2010

Engin Avcı , İbrahim Türkoğlu Mustafa Poyraz

https://izlik.org/JA97EA97CH

Abstract

ABSTRACT

In 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.

Keywords

Key Words: Radar target classification , power density , pulsed radar , pattern recognition

DARBELİ RADAR SİSTEMLERİNDE GELİŞTİRİLEN PERİODOGRAM ÇIKARIMLI AKILLI HEDEF TANIMA

https://izlik.org/JA97EA97CH

Abstract

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

Keywords

Radar hedef sınıflandırma , güç spektrumu , darbeli radar , örüntü tanıma

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