ADAPTIVE DETECTION OF STATIONARY GAUSSIAN SIGNALS AGAINST A NORMAL NOISE BACKGROUND, WITH A CONSTANT FALSE-ALARM RATE

• Date: 2017
• Main Author: Galushko, V. G.
• Format: Article
• Language: Russian
• Published: Видавничий дім «Академперіодика» 2017
• Subjects: target detection; false alarm rate; detection threshold; signal-to-noise ratio; cell averaging
• Online Access: http://rpra-journal.org.ua/index.php/ra/article/view/1271
• Journal Title: Radio physics and radio astronomy

PACS number: 84.40.Xb Purpose: Efficiency analysis of the Cell-Averaging Constant False Alarm Rate processor (CA CFAR-processor) as applied to detection of stationary Gaussian signals against a normal noise background with unknown and/or varying from scan to scan power.Design/methodology/approach: S...