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Postgraduate DiplomaAutonomous, ADAS & Software-Defined Vehicle Applications open

Postgraduate Diploma in Advanced Radar: Micro-Doppler, MIMO and Tracking

Online Postgraduate Diploma of 800 hours in Advanced Radar: Micro-Doppler, MIMO and Tracking. 8 modules covering ETSI EN 302 264, UN Regulation No. 152 and MATLAB Radar Toolbox. Dedicated tutor and open enrolment.

Duration800 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Understand how automotive FMCW radars work.

02

Apply MIMO techniques for angle estimation.

03

Analyse micro-Doppler signatures to classify targets.

04

Process radar point clouds using modern techniques.

05

Implement multi-object tracking algorithms.

06

Integrate radar into ADAS functions and sensor fusion.

07

Validate radar sensors in compliance with spectral and safety regulations.

Profile

Who it's for

  • Radar engineer looking to specialise in Advanced Radar: Micro-Doppler, MIMO and Tracking.
  • Signal processing engineer looking to specialise in Advanced Radar: Micro-Doppler, MIMO and Tracking.
  • Perception engineer looking to specialise in Advanced Radar: Micro-Doppler, MIMO and Tracking.
  • Sensor fusion engineer looking to specialise in Advanced Radar: Micro-Doppler, MIMO and Tracking.
  • ADAS validation engineer looking to specialise in Advanced Radar: Micro-Doppler, MIMO and Tracking.
  • Radio-frequency researcher looking to specialise in Advanced Radar: Micro-Doppler, MIMO and Tracking.
  • Graduates in engineering or sciences seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • ETSI EN 302 264
  • UN Regulation No. 152
  • ISO 26262:2018
  • ETSI EN 301 091
  • ISO 21448:2022 (SOTIF)
  • UN Regulation No. 10
  • Decision 2004/545/EC
Syllabus

8 modules · 800 h

  1. 1.1Radar equation and radar cross-section
  2. 1.2FMCW modulation and chirp ramps
  3. 1.3Range and velocity resolution
  4. 1.477 and 79 GHz bands
  5. 1.5RF front-end architecture
  6. 1.6Range-Doppler processing with FFT
  7. 1.7CFAR detection
  8. 1.8Doppler ambiguities and aliasing
  9. 1.9Printed antennas and radomes
  10. 1.10Laboratory: data cube of an FMCW radar
  1. 2.1MIMO virtual arrays
  2. 2.2TDM, DDM and BPM multiplexing
  3. 2.3Direction-of-arrival estimation
  4. 2.4MUSIC and ESPRIT algorithms
  5. 2.54D radar with elevation
  6. 2.6Array calibration
  7. 2.7Angular resolution and sidelobes
  8. 2.8Cascaded multi-chip radar
  9. 2.9Digital beamforming and Capon beamforming
  10. 2.10Practical: DOA estimation with MATLAB
  1. 3.1Origin of the micro-Doppler signature
  2. 3.2Short-time Fourier transform
  3. 3.3Time-frequency distributions
  4. 3.4Pedestrian and cyclist signatures
  5. 3.5Wheel rotation and moving parts
  6. 3.6Feature extraction
  7. 3.7Classification with convolutional networks
  8. 3.8Micro-Doppler datasets
  9. 3.9Vital-sign detection with radar
  10. 3.10Laboratory: pedestrian and cyclist classification
  1. 4.1Detection generation and attributes
  2. 4.2DBSCAN clustering of detections
  3. 4.3Ego-velocity estimation
  4. 4.4Multipath and ghost suppression
  5. 4.5Network-based detection on radar points
  6. 4.6Occupancy grids with radar
  7. 4.7Direct processing of the data cube
  8. 4.8Radar-to-radar interference
  9. 4.9Temporal accumulation of detections
  10. 4.10Practical: segmentation of detections in RadarScenes
  1. 5.1Kalman filter and motion models
  2. 5.2EKF and UKF for radar measurements
  3. 5.3Data association: GNN and JPDA
  4. 5.4Track management: initiation and deletion
  5. 5.5Multiple-hypothesis tracking (MHT)
  6. 5.6PHD and PMBM filters
  7. 5.7Tracking of extended objects
  8. 5.8GOSPA and OSPA metrics
  9. 5.9IMM manoeuvre models
  10. 5.10Laboratory: multi-object tracker in Python
  1. 6.1Object-level radar-camera fusion
  2. 6.2Adaptive cruise control
  3. 6.3Autonomous emergency braking
  4. 6.4Blind-spot detection
  5. 6.5In-cabin radar for occupant detection
  6. 6.6UN Regulation No. 152 requirements
  7. 6.7Euro NCAP protocols
  8. 6.8Radar limitations in urban environments
  9. 6.9Rear cross-traffic alert
  10. 6.10Case study: analysis of an AEB case
  1. 7.1ETSI radio spectrum regulations
  2. 7.2Electromagnetic compatibility
  3. 7.3Radar simulation with ray tracing
  4. 7.4Radar target simulators
  5. 7.5Test-track validation
  6. 7.6Mitigation of mutual interference
  7. 7.7Functional safety of the radar sensor
  8. 7.8Performance documentation
  9. 7.9Anechoic chamber testing
  10. 7.10Workshop: validation plan for a 4D radar
  1. 8.1Use-case specification
  2. 8.2Waveform design
  3. 8.3Processing and angle estimation
  4. 8.4Micro-Doppler module
  5. 8.5Multi-object tracker
  6. 8.6Evaluation with real data
  7. 8.7Analysis of limitations and improvements
  8. 8.8Technical documentation
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

Training 100% online on the SEIUM campus, with downloadable materials, recorded lectures and a dedicated technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software includes MATLAB Radar Toolbox, Python (NumPy, SciPy), Texas Instruments mmWave Studio, Ansys HFSS, PyTorch, in free, academic or evaluation versions. Practical work covers real raw-data processing procedures for an FMCW radar, micro-Doppler classification of vulnerable road users, and evaluation of a multi-object tracker using GOSPA metrics. Assessment is continuous across modules, plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry Mentored:teachers with experience in training, , eVTOL/UAM and flight test.
Flexible modality(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Use-case specification

Understand how automotive FMCW radars work.

Waveform design

Apply MIMO techniques for angle estimation.

Processing and angle estimation

Analyse micro-Doppler signatures to classify targets.

Micro-Doppler module

Process radar point clouds using modern techniques.

Multi-object tracker

Implement multi-object tracking algorithms.

Career opportunities

Where this takes you

Radar engineerSignal processing engineerPerception engineerSensor fusion engineerADAS validation engineerRadio-frequency researcher
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient level of Spanish to follow technical standards documentation.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme comprises 800 hours in total, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

You will work with MATLAB Radar Toolbox, Python (NumPy, SciPy), Texas Instruments mmWave Studio, Ansys HFSS and PyTorch. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

An in-house SEIUM diploma upon passing the continuous assessment and the integrative project. This is not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the advanced programme. Check the credit transfer policy when enrolling.

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Postgraduate Diploma in Advanced Radar: Micro-Doppler, MIMO and TrackingEnrol
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