Length: 2 Days
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Fundamentals of Automotive Radar

Fundamentals of Automotive Radar training is a 2-day training course covering basics of radar used in automotive industry as a core ADAS technology. Participants will learn  the principals of  integrated, safe and secure automotive radar applications.

Gain a working knowledge of automotive radar. In this course, discover all you need to know to effectively use this automotive radar in your applications.

Who Should Attend

This course is designed for  systems engineers, hardware and software design engineers, managers, and employees with little or no automotive radar experience. The course is also useful for those who have experience with automotive radar but have never had any formal training on the topics.

What You Will Learn

  • An overview of the automotive radar key principals
  • Basic understanding of  automotive radar  use cases and target applications
  • Basics of ADAS and Autonomous Driving
  • A summary of automotive radar tools and applications
  • How to design an automotive radar on a platform
  • Basics of signal processing used in automotive radar systems engineering

 

Course Agenda/Topics

Automotive Radar 101

  • The basics of automotive Radar
  • Radar applications
  • Radar frequency band
  • Radar Micro-Controller Units (MCUs)
  • Microcontrollers for high-performance Radar
  • Radar Transceiver
  • Range calculation
  • Doppler effects
  • Automotive Radar RCS Measurements
  • Radar detections
  • High performance for imaging Radar
  • Embedded Digital Signal Processor (DSP)
  • Example of Signal Processing Toolkit (SPT)
  • Performing Fast Fourier Transforms (FFTs) in real-time
  • Intro to automotive functional safety ( ISO26262)
  • Automotive functional safety ISO26262
  • Security requirements for radar processing: ASIL ISO26262 ASIL B(D) requirements
  • Case Study 1: Overview of fully integrated 77 GHz RFCMOS automotive radar transceiver

Basics of Automotive Radar Target Applications

  • Adaptive Cruise Control (ACC)
  • Autonomous Emergency Brake (AEB)
  • Blind Spot Detection (BSD)
  • Cascaded Imaging Radar (IMR)
  • Front/Rear Cross-traffic-Functions (FCTA/RCTA)
  • Lane Change Assistance (LCA)
  • Parking assist (PA)
  • Radar 360° perception
  • Reverse-Autonomous Emergency Braking (R-AEB)

Automotive mmWave Sensors Devices

  • Introduction to mmWave SDKFM Modulator
  • FM Transmitter
  • Local Oscillator
  • Mixer
  • Side Band Filter
  • IF Amplifier
  • Balanced Detector
  • Low Frequency Amplifier
  • Switched Frequency Counter
  • Average Frequency Counter
  • FMCW radars

Introduction to FMCW Radars

  • Frequency-Modulated Continuous-Wave Radar (FMCW Radar)
  • FMCW Radar transceiver for short-medium- and long-range
  • Basics of FMCW radar operation
  • System design and engineering
  • Principle of measurement
  • Modulation patterns
  • Sawtooth modulation
  • Triangular modulation
  • Square-wave modulation (simple frequency-shift keying, FSK)
  • Stepped modulation (staircase voltage)
  • Sinusoidal modulation
  • staircase voltage
  • Common modulation pattern for an FMCW radar
  • Different measurement purposes
  • Range estimation
  • Range resolution
  • Velocity estimation
  • Angle estimation
  • Antennas
  • Automotive Radar antenna concepts (MIMO, antenna arrays)
  • Doppler and micro doppler

Radar Signal Compression

  • Introduction
  • Compression overview
  • Compression formats and ratios

Radar Signal Processing

  • Components of signal processing
  • FMCW- terms, Definitions, Parameters.
  • Measurements : Range, Angle, Doppler, Height
  • Range fft & Doppler fft, Angle fft, RD map
  • Clutter removal and CFAR
  • Final detection estimation; object classification at radar level
  • Radar data processing
  • Various steps involved in Radar data processing including coordinate transformations, ego vehicle speed compensation, filtering of dynamic and static detections
  • clustering methods and object list generation
  • Object tracking: Single Object Tracking (SOT), Multi-Object Tracking (MOT), Challenge of Data association in MOT, Predict – Measurement update cycle, brief introduction to tracking filters like Kalman filter and final track object list generation process

Other Automotive Radar Topics

  • Intro to deep learning in Radar
  • Integration issues of RADAR
  • Environmental impacts on Radar detection
  • Effect of multipath propagation on RADAR detection
  • Interference between automotive RADARs (inter-intra car)
  • Unsupervised machine learning
  • Clustering and feature extractions
  • Object formation
  • Single Object Tracking
  • Multi Object Tracking

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