Calibration of a fully polarimetric 8×8 mimo fmcw radar system at 77 ghz

Visentin, Tristan; Haseh, Jurgen; Zwiek, Thomas

doi:10.23919/eucap.2017.7928404

Cited by 20 publications

(11 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Today's higher levels of automation often deploy sensor fusion concepts or semantic grids to detect also stationary objects [4]. The role of radar for driving automation has become increasingly important; with further developments towards higher resolution [5] and fully polarimetric devices [6], radar is considered a key sensor for autonomous driving [7]. Among the primary reasons for the success of radar are that it is more robust against adverse weather conditions compared to lidar or camera, and that it is able to measure the target's velocity via the Doppler-effect in addition to its range [8].…”

Section: Radar Sensors In Autonomous Drivingmentioning

confidence: 99%

Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving

Holder

Rosenberger

Winner

et al. 2018

2018 21st International Conference on Intelligent Transportation Systems (ITSC)

View full text Add to dashboard Cite

The virtual validation of automated driving functions requires meaningful simulation models of environment perception sensors such as radar, lidar, and cameras. There does not yet exist an unrivaled standard for perception sensor models, and radar especially lacks modeling approaches that consistently produce realistic results. In this paper, we present measurements that exemplify challenges in the development of meaningful radar sensor models. We highlight three major challenges: multi-path propagation, separability, and sensitivity of radar cross section to the aspect angle. We also review previous work addressing these challenges and suggest further research directions towards meaningful automotive radar simulation models.

show abstract

Section: Radar Sensors In Autonomous Drivingmentioning

confidence: 99%

Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving

Holder

Rosenberger

Winner

et al. 2018

2018 21st International Conference on Intelligent Transportation Systems (ITSC)

View full text Add to dashboard Cite

show abstract

“…The sensor is calibrated with a MIMO-adapted version of the isolated antenna calibration technique from [7]. More details on the radar system, the calibration, and the polarimetric MIMO antenna can be found in [8]. The DOA estimation is done by a FFT with a zero-padding factor of 100 and a Kaiser window with 25 dB side lobe suppression over the stated λ /2 ULA channels, where the gaps at the very ends are filled with zeros.…”

Section: Measurement Parameters and Resultsmentioning

confidence: 99%

“…To model the guardrail case, the floor between target and radar is covered with metallic sheets. Also, the radar sensor is rotated by 90° so that the azimuthal direction is pointing towards the ground (the azimuthal antenna pattern has a broad 3 dB-beamwidth of 60° [8]). The distances are chosen in such a way that all the three paths are separable - with a measurement bandwidth of B = 2 GHz the physical range bin size is 7.5 cm [4].…”

Section: Measurement Parameters and Resultsmentioning

confidence: 99%

Analysis of multipath and DOA detection using a fully polarimetric automotive radar

Visentin

Hasch

Zwick

2018

Int. J. Microw. Wireless Technol.

Self Cite

View full text Add to dashboard Cite

Multipath propagation occurs in many situations of radar measurements in complex environments. The unwanted effects range from interference over the radar channels, which causes amplitude fading and a corrupted direction of arrival (DOA) estimation, to the detection of ghost targets in an angle of arrival of the multipath direction. Due to the different number of reflections, polarimetric radars are capable to separate certain multipaths from direct paths if the target is known in advance. Furthermore, it is possible to separate objects with different polarimetric features in DOA that are located in the same radial distance to the radar. In this paper, a new approach to DOA detection based on the coherent Pauli decomposition is presented. With this approach, important multipath and DOA effects are analyzed and measurement results at 77 GHz on canonical objects in an anechoic chamber are presented. The results prove the feasibility of the approach and demonstrate the occurring effects.

show abstract

“…Both sets are equivalent in their content of information and can be mathematically transformed from one into each other. Calibration of both systems is necessary, which can be accomplished using particular in-scene reflectors [7, 8].…”

Section: Introductionmentioning

confidence: 99%

Compact polarimetry for automotive applications

Lutz

Mutschler

Scharf

et al. 2019

Int. J. Microw. Wireless Technol.

View full text Add to dashboard Cite

Though compact polarimetric approaches have been developed and applied in space and geo researching systems they have not been taken into consideration in automotive applications, yet. A sensor system has been designed to conduct polarimetric measurements in the 77 GHz frequency band, which is permitted for automotive usage. This system is able to transceive linearly as well as circularly polarized electromagnetic continuous waves. Depending on the case of application, the frequency output can be set statically or modulated over time within adjustable parameters. Hence, a variety of compact polarimetric modes can be performed and compared with full polarimetric approaches. Two compact polarimetric modes, dual-circular polarimetric mode, and circular-transmit-linear-receive, will be introduced and applied in this contribution. Their operability in this frequency range will be investigated after the microstrip antennas as well as the beam focusing dielectrical lense are characterized. Finally, results of a realistical measurement set-up will confirm the practicability of compact polarimetric approaches for double bounce recognition.

show abstract

Calibration of a fully polarimetric 8×8 mimo fmcw radar system at 77 ghz

Cited by 20 publications

References 6 publications

Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving

Measurements revealing Challenges in Radar Sensor Modeling for Virtual Validation of Autonomous Driving

Analysis of multipath and DOA detection using a fully polarimetric automotive radar

Compact polarimetry for automotive applications

Contact Info

Product

Resources

About