2019 SAE Corporate Learning GV Resource Guide - P18294612

ELECTRICAL/ELECTRONICS AND ELECTRONIC SYSTEMS

• Compute basic radar design parameters using signal to noise ratio, range resolution, unambiguous range, Doppler resolution, and unambiguous Doppler • Discuss the concept of a radar cross section and use statistical models for realistic performance estimates for radar cross- section, scattering from canonical objects, scattering from extended targets, and statistical models • Characterize system performance using design parameters and quantities for Receiver Operating Characteristic (ROC) curves, and Detector Error Trade (DET) curves Who Should Attend This course will be particularly valuable for assisted driving advanced system engineers, active safety technology engineers, radar engineers, and safety test engineers. Prerequisites Individuals should have an undergraduate background in engineering or physical sciences.

• Radio Propagation Channel −− Signal to clutter ratio −− Channel fading −− Radio frequency interference • Character of Radar Targets −− Radar cross section definition −− Canonical shapes

−− Wavelength effects −− Polarization effects −− Statistical character of extended targets • Estimating Performance −− Hypothesis testing for detection −− Statistics of detector output −− Receiver operating characteristic and detector error trade curves

Instructor: Fee: $1415

William Buller

1.3 CEUs

URL:

sae.org/learn/content/c1627/

Topical Outline DAY ONE

Understanding and Using the SAE J2534-1 API to Access Vehicle Networks 1 Day | Classroom (Available for Private Delivery Only) I.D.# C0733 With the increase in vehicle electronics, the need to gather data from the vehicle has never been greater. From vehicle development, through vehicle test to vehicle validation, engineers are required to collect data from the vehicle’s network. The SAE J2534-1 API (Recommended Practice for Pass-Thru Vehicle Programming) gives engineers the tool to collect vehicle data from multiple network types including CAN, ISO15765, J1850, ISO9141 and Chrysler SCI, using standard J2534 interface devices. In addition, the aftermarket can access the vehicle’s OBDII information from the diagnostic connector. Using the SAE J2534-1 API, an engineer can write a single program that communicates on multiple protocols, uses an off-the-shelf interface device and is scaleable. This course is designed to give you an understanding of the J2534-1 API, enabling you to create your own programs that accomplish your vehicle communication needs. In addition to learning how to use each of the J2534-1 functions, you will have the opportunity to write a program that collects messages off of the CAN vehicle bus and another program that reads trouble codes off of a J1850 vehicle. Note that because of the proprietary nature of the information, this class does not provide details on reprogramming algorithms or proprietary data collection. Attendees will receive a copy of the SAE J2534-1 Recommended Practice for Pass-Thru Vehicle Programming.

• Basic Radar Architecture • Radar Range Equation −− Equivalent isotropically radiated power −− Computing signal to noise ratio • Antenna Basics −− Aperture and radiation pattern −− Mono-static vs bistatic −− Electronically steered antenna • Radio Frequency Mixing −− Carrier frequency mixing −− Homodyne and heterodyne receiver • Waveform Design −− Bandwidth −− Pulse-Doppler

−− Frequency modulated continuous wave radar −− Pseudo-noise modulated continuous wave radar −− Pulse repetition interval • Matched Filter −− Envelope detector output

−− Range resolution −− Doppler resolution

DAY TWO • Radar Range Equation Revisited (review with exercises) −− Signal to noise ratio −− Range resolution

−− Unambiguous range −− Doppler resolution • Automotive Radar Types −− Overview of applications −− Automotive radar parameters

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3 ways to get a no-obligation price quote to deliver a course to your company: Call SAE Corporate Learning at +1.724.772.8529  |  Fill out the online quote request at sae.org/corplearning  |  Email us at corplearn@sae.org

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