Tutorial Sessions
IEEE Space, Aerospace and Defence Conference, SPACE 2025
PASSIVE RADAR FOR SPACE APPLICATIONS

Department of Electrical Engineering
The Pennsylvania State University
University Park, Pennsylvania, USA
Abstract:
Passive radar technology is revolutionizing modern defense and space surveillance and transforming security and navigation by enabling covert, cost-effective, and resilient detection capabilities as a viable alternative to traditional active radar systems. Unlike traditional radar systems, passive radar relies on ambient radio frequency signals from “illuminators of opportunity”—such as commercial broadcasts, e.g., FM radio and digital television, cell tower signals, and satellite transmissions—to detect, track, and classify objects without emitting its own signals. This unique approach offers significant advantages, including low probability of detection, reduced electromagnetic interference, and enhanced operational sustainability. Additionally, it enhances security by offering low probability of interception and resistance to jamming, making it ideal for surveillance, border monitoring, and urban security operations. In this talk, we will explore the principles of passive radar and its growing role in applications such as defense, space applications, security and navigation. We will address how passive radar enhances situational awareness in contested environments, supports stealth detection, and enables persistent monitoring of air and space domains. We will also discuss how it enhances perimeter protection, maritime surveillance, and urban traffic monitoring while also supporting alternative navigation solutions in GPS-denied environments. Additionally, we will examine its challenges, including signal processing complexities, integration with existing defense networks, interference mitigation, and the impact of evolving signal environments. Recent advancements in machine learning and sensor fusion for passive radar will also be highlighted as enablers for improved detection accuracy and navigation reliability. With increasing threats in modern warfare and the space domain, passive radar presents a critical frontier in surveillance and reconnaissance. As the need for robust, non-emissive sensing grows, passive radar is also emerging as a critical tool for security and navigation. This talk will provide insight into its current capabilities, ongoing research, and future potential in defense, security, space situational awareness, and positioning systems.Bio-sketch for Speaker:

Department of Electrical Engineering
The Pennsylvania State University
University Park, Pennsylvania, USA
Professor Ram Narayanan received the B.Tech. degree in electrical engineering from IIT Madras in 1976, and the Ph.D. degree in electrical engineering from the University of Massachusetts in 1988. During 1976–1983, he was a Research and Development Engineer with Bharat Electronics Ltd., India, where he developed microwave subsystems and communications equipment. During 1983–1988, he was a Graduate Research Assistant at the University of Massachusetts where he designed and built a 215-GHz radar to study the millimeter-wave radar reflectivity of vegetation and ground snow. In 1988, he joined the Electrical Engineering Department, University of Nebraska–Lincoln, where he last served as the Blackman and Lederer Professor. Since 2003, he has been a Professor of electrical engineering at The Pennsylvania State University. He has coauthored over 12 book chapters, 180 journal articles, and 450 conference publications. His current research interests include radar information characterization and processing, cognitive radar, adaptive radar, passive radar, radar networks, and multifunctional RF systems. He is a Fellow of the IEEE, the IETE, and the SPIE. He currently serves as a member of the IEEE Committee on Ultrawideband Radar Standards Development. He received the 2017 IEEE Warren White Award for Excellence in Radar Engineering, the 2017 IETE Journal of Education Paper Award, and the 2023 Distinguished Alumnus Award from IIT Madras.