Multistatic Passive Radar Target Detection - A Detection Theory Framework

This book is devoted to target detection in a class of radar systems referred to as passive multistatic radar. It is concerned with applications of new results in detection theory which improve performance of passive radar systems.

About the author

Amir Zaimbashi is an associate professor and head of the Optical and RF Communication Systems Laboratory at the Department of Electrical Engineering, Shahid Bahonar University of Kerman, Iran. He was named best researcher in his engineering faculty in 2020. He is a senior member of IEEE since 2023. His current research interests include statistical signal processing, array signal processing, kernel theory, optimization theory, and their applications in active/passive radars and wireless communication systems.

Summary

This book is devoted to target detection in a class of radar systems referred to as passive multistatic radar. It is concerned with applications of new results in detection theory which improve performance of passive radar systems.

Product details

• Authors: Mohammad Mahdi Nayebi, Mohammad Mahdi (Full Professor Nayebi, Amir Zaimbashi, Amir (Associate Professor Zaimbashi
• Publisher: Institution of Engineering & Technology
• Languages: English
• Product format: Hardback
• Released: 14.11.2023
• EAN: 9781839538520
• ISBN: 978-1-83953-852-0
• No. of pages: 396
• Dimensions: 159 mm x 236 mm x 26 mm
• Weight: 718 g
• Series: Radar, Sonar and Navigation
• Subject: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering