Radar Sistemlerinde Çoklu Sahte Hedef Kariştirma Tekniklerine Karşi CFAR Algoritmalarinin Performans Deǧerlendirmesi

This study comprehensively evaluates the performance of various Constant False Alarm Rate (CFAR) detection algorithms used in Radar systems against multiple false target clutter techniques. The algorithms under investigation include Cell Averaging (CA-CFAR), Ordered Statistics (OS-CFAR), Greatest Cell Averaging (GO-CA-CFAR), and Smallest Cell Averaging (SO-CA-CFAR). CFAR algorithms provide adaptive adjustment of the detection threshold, offering variable detection performance based on the characteristics of clutter signals. Multiple false target clutter is a strategy aiming for Radar receivers to successfully detect as many false targets as possible. The foundation of this success lies in the ability to detect false targets above the Radar's detection threshold. The existing literature often focuses on the CA-CFAR algorithm, and there is a lack of analysis regarding the effectiveness of other CFAR detection algorithms and their performance against multiple false target clutter techniques. This study is conducted to fill this gap in the literature.