Radar Boot Camp 2027 – 2027 IEEE Radar Conference | May 1-6, 2027

Workshop Overview

This two-day IEEE Radar Boot Camp introduces modern radar systems through a balanced mix of concise lectures and lab sessions. The agenda covers radar fundamentals, waveform and array design, signal processing, CFAR detection, beamforming, tracking, multi-sensor fusion, SAR imaging, and AI/deep learning for radar applications.

End-to-End Workflow Covered

Radar Fundamentals Waveforms Antenna Arrays Signal Processing Detection Beamforming Tracking Sensor Fusion SAR Imaging AI/Deep Learning

Two-Day Agenda

Day 1: Radar Fundamentals, Signal Processing and Beamforming

Time	Duration	Topic
09:00 - 09:15	15 min	Welcome and Introduction to Radar Systems
09:15 - 10:15	1 hr	Radar Fundamentals: Radar Equation, Range, Doppler, Resolution
10:15 - 10:30	15 min	Coffee Break
10:30 - 11:00	30 min	Lab 1: Radar Equation and Link Budget Analysis (TI mmWave Radar)
11:00 - 11:45	45 min	Antenna Arrays Design & Radar Waveforms
11:45 - 12:30	45 min	Lab 2: Radar Waveform Design & Array Design
12:30 - 13:45	1 hr 15 min	Lunch
13:45 - 14:45	1 hr	Radar Signal Processing: Matched Filtering & CFAR
14:45 - 15:15	30 min	Lab 3: Radar Signal Processing and Target Detection using CFAR (TI mmWave Radar)
15:15 - 15:30	15 min	Coffee Break
15:30 - 16:30	1 hr	Phased Arrays and Beamforming Concepts
16:30 - 17:00	30 min	Lab 4: Digital Beamforming and Array Pattern Design

Day 2: Tracking, Sensor Fusion, SAR and AI for Radar

Time	Duration	Topic
09:00 - 10:00	1 hr	Multi-Target Tracking and Kalman Filtering for Radar Systems
10:00 - 10:30	30 min	Lab 5: Radar Target Tracking using Kalman Filter (People Tracking using TI mmWave Radar)
10:30 - 10:45	15 min	Coffee Break
10:45 - 11:45	1 hr	Multi-Sensor Fusion for Radar Systems: Architectures, Data Association, State Estimation, and Track Fusion
11:45 - 12:15	30 min	Lab 6: Fusion of Data from Two TI mmWave Radars for Enhanced Detection and Tracking
12:15 - 13:30	1 hr 15 min	Lunch
13:30 - 14:30	1 hr	SAR and Imaging Radar Fundamentals
14:30 - 15:00	30 min	Lab 7: SAR Processing using ERS Dataset
15:00 - 15:15	15 min	Coffee Break
15:15 - 16:15	1 hr	AI and Deep Learning for Radar Signal Processing
16:15 - 16:45	30 min	Lab 8: Deep Learning for Radar Target Classification
16:45 - 17:00	15 min	Closing Discussion: Cognitive Radar, AI-Enabled Sensing, Digital Engineering, and Future Radar Systems

Learning Outcomes

Understand radar fundamentals, range, Doppler, resolution, and link budget concepts.
Design radar waveforms and antenna arrays for practical radar applications.
Implement radar signal processing algorithms including matched filtering and CFAR.
Apply phased array and digital beamforming techniques.
Develop target tracking workflows using Kalman filters.
Understand multi-radar and multi-sensor fusion architectures.
Process SAR data and interpret imaging radar outputs.
Apply AI and deep learning workflows to radar classification problems.
Connect classical radar processing with emerging cognitive radar and AI-enabled sensing trends.