HiFi Radar Target. Kristian Karlsson (RISE)

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Transcription:

HiFi Radar Target Kristian Karlsson (RISE)

Outline HiFi Radar Target: Overview Background & goals Radar introduction RCS measurements: Setups Uncertainty contributions (ground reflection) Back scattering Spatial profile

HiFi Radar Target - overview Four partners: VCC Autoliv RISE AstaZero Start: 2015-12-01 End: 2018-06-30 Financed by:

Background Active safety systems and AD systems are necessary: In normal traffic situations In critical situations Reliable sensors are needed: Visible spectrum, infrared cameras, laser scanners, ultrasonic sensors, and radars Radar importance: long range give early detection and time to react, even in adverse weather

Background cont. To ensure reliable performance, extensive testing of radar-based safety systems is required. Vehicle testing at test tracks (AstaZero) with soft surrogate targets: o RCS difference (real vs surrogate) o Different radar detection performance different activation of the functions. o HiFi soft targets are a prerequisite for vehicles to use the radars' full potential. Virtual testing o Tools for comprehensive virtual testing of radar-based ADAS and AD systems including radar are not available.

Goals RCS measurement methods, setup and required measurement hardware Reference objects and EM simulations Measure RCS (real and soft targets) Validation Define a methodology to construct HiFi soft surrogate targets that improve current state-of-the-art Input to international standardization (ISO) Implement and validate a comprehensive simulation tool-chain for radar system testing in that complements test-track testing

Outline HiFi Radar Target: Overview Background & goals Radar introduction RCS measurements: Setups Uncertainty contributions (ground reflection) Back scattering Spatial profile

Recieved time domain signal Uncompensated radar response SFCW Radar Pulse, CW, FM,FMCW, Time domain data Transform to frequency domain Time [s] Distance from radar [m] Stepped Frequency Continuous Wave (SFCW): sensor output corresponds to the cosine of the phase difference between the echo signal and the radiated signal: S = cos Φ

distance from radar [m] Automotive radar Detections(distance, angle, RCS, ) Radar is located at x,y = 0,0. View angle is straight in the y-direction Lateral distance from radar direction [m]

Radar Cross Section σ = lim r 4πr 2 E s 2 E i 2 Extract max RCS detection from each sample point

y [m] Backscattering Scatter color corresponds to RCS. Color of contour is density of detections x [m] distance from center of target

Outline HiFi Radar Target: Overview Background & goals Radar introduction RCS measurements: Setups Uncertainty contributions (ground reflection) Back scattering Spatial profile

Several types of measurement methods Fast validation of RCS use on test track on crashed targets Careful measurement of RCS (comparing surrogate targets with real vehicles) Target knowledge, input to ISO = Characterization of multiple scattering centras of real and surrogate targets target models incl. propagation

Fast validation Fast validation of RCS use on test track on crashed targets

Careful measurement of RCS Comparing surrogate targets with real vehicles Target knowledge, input to ISO

Outline HiFi Radar Target: Overview Background & goals Radar introduction RCS measurements: Setups Uncertainty contributions (ground reflection) Back scattering Spatial profile

Important properties of the measurement site Far field distance of targets Radar field of view and measurement distance Effect of ground reflection

Other properties of the measurement site Wind, rain Temperature dependence Distance estimate

Height Ground reflection Distance Radar Target Ground Important properties Beam width (in elevation) Four propagation paths Height over ground plane Distance

Effect of ground reflection Range measurement is one (of several) characterizations that has to be made for targets

Ground reflection: Radar sensor calibration Triangular corner reflector reflects the power back to the radar from all directions. A metallic plate reflects only in a narrow angular span. Good, but extremely hard to position (vertically & horizontally). Dihedral corner reflector reduces the positioning problem in horizontal plane. Radar Dihedral corner reflector Move in range Fine tune elevation to align with ground Ground

Calibration with dihedral corner reflector but what about the test object? It is not a dihedral corner reflector Dihedral: ± 3 db Trihedral: ± 9 db

First step: height diversity Single measurement, radar height 0.5m. Note: Long distance to far-field! Height diversity Radar height 0.4, 0.5, and 0.6 m Over-estimate 12 db

Second step: process over range Moving average proposed by standard (±2.5 m). We propose height diversity + sliding max: w = max d, w 0 (w 0 = 2.5 m). Reference = the over-estimate: max(1000 heights from 0.1 to 1.5 m)

Outline HiFi Radar Target: Overview Background & goals Radar introduction RCS measurements: Setups Uncertainty contributions (ground reflection) Back scattering Spatial profile

Back projected RCS Radar knows its position + distance and angle to detection back projection onto target Is this good or bad? How to put limits in, e.g., a standard?

Back projected RCS Solution: convert to a line plot which can have limits 1. Collect samples 2. Take all samples over an angular window 3. Integrate in one dimension 4. Results in a spatial profile

Spatial profile real vehicle vs surrogate target Radar is located at 90 15 relative to the target Back projection Spatial profile Real vehicle Surrogate target

Spatial profile real vehicle vs surrogate target Radar is located at 45 15 relative to the target Back projection Spatial profile Real vehicle Surrogate target

Thank you! Questions? Kristian Karlsson kristian.karlsson@ri.se