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. This system is of great interest in both civilian and military scenarios due to many advantages. First, this system is substantially smaller and less expensive compared to an active radar system. Second, the multistatic configuration improves its detection and classification capabilities. Finally, there are many signals available for passive sensing making them hard to avoid.
Multistatic Passive Radar Target Detection: A detection theory framework focuses on examining the multistatic passive radar target detection problem using the detection-theory framework, with the aim of presenting the latest research developments in this field. Early methods were based on intuition and lacked optimality, however, more recent methods with a clear theoretical basis have emerged, based on detection theory. The book offers timely and useful information to advanced students, researchers, and designers of passive radar (PR) systems.
The book is organized into four parts, with each part addressing a specific aspect of target detection in various radar systems. The first part, consisting of two chapters, covers the fundamentals of PR and traditional target detection algorithms. Part two comprises seven chapters and deals with the target detection issue in passive bistatic radar (PBR) with a reliable reference channel. Part three includes two chapters and focuses on the detection of targets in multistatic PR systems in the presence of noisy reference channels. Finally, part four, which consists of two chapters, discusses the target detection problem in multistatic and MIMO PRs when no reliable reference channel is available.
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.
Mohammad Mahdi Nayebi is a full professor in the Department of Engineering, Sharif University of Technology, Iran. He is a senior member of IEEE since 2005. He is a member of the editorial board of IET Radar, Sonar, and Navigation journal since 2018. He is the founder of the Iran Radar conference and the chairman of its organizing committee. His main research interests are radar signal processing and detection theory.