Pioneer Study on Near-Range Sensing with 4D MIMO-FMCW Automotive Radars
- Resource Type
- Conference
- Authors
- Li, Gang; Sit, Yoke Leen; Manchala, Sarath; Kettner, Tobias; Ossowska, Alicja; Krupinski, Kevin; Sturm, Christian; Goerner, Stefan; Lubbert, Urs
- Source
- 2019 20th International Radar Symposium (IRS) Radar Symposium (IRS), 2019 20th International. :1-10 Jun, 2019
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Radar cross-sections
Receiving antennas
Radar detection
Azimuth
Doppler effect
Automotive engineering
- Language
- ISSN
- 2155-5753
This paper explores the feasibility to detect and classify static or moving targets with weak radar cross sections i.e. pedestrians with a 4D MIMO-FMCW automotive radar. A straightforward classification using data integration over time for pattern recognition is not possible due to the low point cloud density. Hence a particle filter is employed, where the probability density function of the points are used for object classification instead. Measured results of an adult person walking and a child dummy on the ground classified with a particle filter has been shown to be promising. Their locations relative to the radar are tracked and the pedestrians’ heights can also be also estimated.