Tutorials will bookend the conference. Brief tutorial proposals should be submitted by October 30, 2022 to the Tutorial co-Chairs and must include title, outline, contact information, biography, and a description of the tutorial material to be distributed to participants.


1BlairSystematic Filter Design for Tracking Maneuvering Targets
2DavisUltra Wide Band Surveillance Radar
3DoerryIntroduction to Airborne Ground-Moving Target Indicator (GMTI) Radar
4Kulpa, Samczyński, Cristallini, ColonePassive radar on mobile platforms – from target detection to SAR/ISAR imaging
5Majumder, Blasch, GarrenDeep Learning Laboratory for Radar Automatic Target Recognition


1Job Skills (Jost, Cook, Jackson, McCall, Cordill)Technical Writing/ Technical Presentations/ Project Management/ Systems Engineering
2BrownActive Electronically Scanned Arrays: Fundamentals and Applications
3Goldstein, PiccioloAdvanced Radar Detection and Applications
4Sahin, McCormick, and MetcalfAn Overview of Practical Spectrum Sharing Techniques for Radar and Communications
5Samczyński,Cristallini, ColoneNew Illuminators of Opportunity for Passive Radars - challenges and opportunities


1Fioranelli and ClementeMicro-Doppler Signatures: Principles, Analysis and Applications
2Rong, Mishra, BlissRadar for Health Monitoring: Signal Processing, Systems and Applications
3Haigh, AndrusenkoCognitive EW: An AI Approach
4Jost, CohenIntroduction to Modern Radar Transmitters
5Rigling and MartorellaBistatic and Multistatic Radar Imaging

Monday Morning Tutorials

  • Systematic Filter Design for Tracking Maneuvering Targets: Getting Guaranteed Performance Out of Your Sensors

    Abstract: Although the Kalman filter has been widely applied to target tracking applications since its introduction in the early 1960s, until recently, no systematic design methodology was available to predict tracking performance for maneuvering targets and optimize filter parameter selection.  When tracking maneuvering targets with a Kalman filter, the selection of the process noise (e.g., acceleration errors) variance is complicated by the fact that the motion modeling errors are represented as white Gaussian, while target maneuvers are deterministic or highly correlated in time. In recent years, relationships between the maximum acceleration of the target and the variance of the process noise errors were developed to minimize the maximum mean squared error (MaxMSE) in position for multiple filter types. Lower bounds on the variance of the motion modeling errors were also expressed in terms of the maximum acceleration.

  • Ultra Wide Band Surveillance Radar

    Abstract: Ultra Wide Band Surveillance Radar is an emerging technology for detecting and characterizing targets and cultural features for military and geosciences applications. It is essential to have fine range and cross-range resolution to characterize objects near and under severe clutter. This Tutorial contains 5 parts.

  • Introduction to Airborne Ground - Moving Target Indicator (GMTI) Radar

    Abstract: Airborne Ground-Moving Target Indicator (GMTI) is a radar mode that detects and discriminates moving targets on the ground, such as vehicles and dismounts. This is an important intelligence, Surveillance, and Reconnaissance (ISR) tool particularly for the military and intelligence communities, but also with important application in the civilian and government communities

  • Passive radar on mobile platforms – from target detection to SAR/ISAR imaging

    Abstract: The purpose of this tutorial is to provide a serious exposition of the state-of-the-art of passiveradar on mobile platform research and development in the context of target detection and imaging. Thetutorial is focused on passive coherent location (PCL) mobile radar placed on different platforms–airborne(airplanes, helicopters, drones, rockets), airlifted (aerostats, drones on wire powered fromground), seaborne (ships, fast boats, submarines), ground (vehicles, lorries, tanks, etc.) and evenspaceborne. The tutorial will commence with a brief theoretical overview via platform discussion,Doppler spread clutter modeling, and Doppler spread clutter cancelation and finishing on demonstratorsand potential applications and use-cases.

  • Deep Learning Laboratory for Radar Automatic Target Recognition

    Abstract: The tutorial focuses on hands-on implementation (laboratory) and theory of machine/deep learning for radio frequency ATR. Utilizing the recently published (July 2020) book by Artech House"Deep Learning for Radar and Communications Automatic Target Recognition," we will present contemporary topics to include research results, technical challenges, and directions of Deep Learning(DL) based object classification using radar data (i.e., Synthetic Aperture Radar / SAR data).

Monday Afternoon Tutorials

  • Job Skills Tutorial

    Overview: This tutorial short course is broken into four “mini” courses that focus on important job skills: 

    1. Technical Writing–Randy Jost
    2. Technical Presentations–Dan Cook and Julie Jackson
    3. Project Management–Brittany McCall 
    4. Radar Systems Engineering–Brian Cordill

    Communication, planning, and working in the bigger picture are keys to successfully taking research(and your career!) to the next level. Additional information for each of the four mini-courses is provided below.

  • Introduction to Active Electronically Scanned Arrays

    Abstract: Introduction to Active Electronically Scanned Arrays(AESAs)delivers a foundational treatment of AESAs ideal for engineering students and professionals. An overview is provided of the primary subsystems of an AESA. Detailed explanations are provided on the impact of AESAs on mission applications including Radar, Electronic Attack (EA), Electronic Support Measures (ESM), SIGINT and Communications.

  • Advanced Radar Detection and Applications

    Abstract: We teach advanced radar detection from first principles and develop the concepts behind Space-Time Adaptive Processing (STAP) and advanced, yet practical, adaptive algorithms for realistic data environments.

  • An Overview of Practical Spectrum Sharing Techniques for Radar and Communications

    Abstract: The electromagnetic spectrum (EMS) is a precious resource that connects and protects our societies across the globe. Historically this resource was accessed by expensive, purpose-built radio-frequency (RF) systems that operated in well-defined, static frequency allocations. Recent advances in digital radio technology (e.g. software-defined radios, low-cost/high-sample rate analog-to-digital converters, etc.) have made wide swaths of spectrum easily accessible by low-cost, commercially available systems.

  • New Illuminators of Opportunity for Passive Radars - challenges and opportunities

    Abstract: This tutorial will be pitched so as to present bistatic and multi-static passive radar using novel wideband illuminators of opportunity in an advanced format. The tutorial will focus on developing the grounding of advanced principles and concepts that are, and will be, of high relevance to the field. 

Friday Morning Tutorials

  • Micro-Doppler Signatures: Principles, Analysis and Applications

    Abstract: The micro-Doppler analysis is the study of the time-varying Doppler frequencies from multiple moving scattering centers of targets. Over the past few years, the potential of micro-Doppler signature analysis has been demonstrated in different areas of radar signal processing such as enhanced target detection, characterization and tracking, in a plethora of applications including condition monitoring, urban and airspace surveillance, healthcare, automotive, and manufacturing. Combined with the recent advances in machine learning and artificial intelligence, micro-Doppler analysis is a powerful tool to perform automatic target recognition

  • Radar for Health Monitoring: Signal Processing, Systems and Applications

    Abstract: Radar-based health monitoring meets the requirements of a non-disturbing,ubiquitous-use, all-weather, penetrable, privacy-preserving sensing. This has led to the emergence of a rich set of useful and interesting radar-based healthcare applications ranging from clinical to home care, sports training to automotive, and forensic to rescue operations. Unlike wearable sensors, a small-footprint radar measures physiological signals from human body without any mechanical contact with the human skin. Compared to vision sensors (e.g., cameras), radar signals are capable of penetrating clothing without raising any privacy concerns.

  • Cognitive EW: An AI Approach

    Abstract: This tutorial will present an overview of how AI can be used in EW. They will describeopportunities for using AI in situation assessment and electronic support (ES), and decision-making techniques for electronic protect (EP), electronic attack (EA), and electronic battle management (EBM). We will present AI techniques from Situation Assessment, Decision Making, and Machine Learning, and discuss tradeoffs. 

  • Radar Transmitters

    Abstract: This tutorial on radar transmitters will address a broad range of issues including system-level design, vacuum-tube technologies and supporting hardware (such as power supplies, exciters, and modulators), solid-state device technologies, and related spectrum issues facing transmitter designers.

  • Bistatic and Multistatic Radar Imaging

    Abstract: SAR/ISAR images have been largely used for earth observation, surveillance, classification and recognition of targets of interest. The effectiveness of such systems may be limited by a number of factors, such as poor resolution, shadowing effects, interference, etc. Moreover, both SAR and ISAR images are to be considered as two-dimensional maps of the real three-dimensional object.