Advanced signal processing for Time Division MIMO type millimeter-wave Radars

Yoshihisa Amano･Hideo Inoue (Kanagawa Institute of Technology)

In this paper, a new signal processing technique, which improves performance of Millimeter-wave radar, is proposed. Since 2017 radar chips with Time Division MIMO function are widely available, but this technology has a drawback of reduced dynamic range of velocity. So the recent trend is obviously moving to another technology, Doppler Division MIMO, but it also has a drawback of self-interference in the spectrum. Authors has replaced FFT with 2-3 dimensional Matching Pursuit algorithm, and has successfully enlarged dynamic range of velocity.

Millimeter wave reflection characteristics and modeling on snow-covered road surfaces

Hiroshi Kuroda･Yoshihisa Amano･Aiko Hibino･Masashi Mizukoshi･Hideo Inoue (Kanagawa Institute of Technology)･Kengo Sato (National Research Institute for Earth Science and Disaster Resilience)

For safety validations of automated driving vehicles, simulators in the cyber world are important. The DIVP project is developing a simulator to reflect real environment including snowy weather condition. Last year, reflections from snow surface regarding light and millimeter wave were reported at JSAE. Essentially, millimeter wave can penetrate snow to some extent. Considering real snow-covered road condition, characteristics of multiple reflections from snow and road surface material in millimeter wave are measured. Also, the mathematical model using S-function to calculate multiple reflections are created. Experiments were conducted while varying the thickness of the snow on road surface material. Measured results are well matched with the model.

Verification of Millimeter-Wave Radar Vital Sensing Simulation Method for In-Vehicle Child Presence Detection

Taiki Nakayama･Yasuhiro Tada･Yosuke Saiki･Kenshi Horihata (Kozo Keikaku Engineering)･Swagato Mukherjee･Benjamin M. Hardy･Greg J. Skidmore･Tarun Chawla (Remcom Inc.)

Millimeter-wave (mmWave) radar, capable of non-contact detection, is attracting attention as a method for Child Presence Detection (CPD) to address the social issue of children being left behind in vehicles. In this study, we analyze a breathing human body model by combining the Ray Tracing method and the Physical Optics to verify the simulation methodology for mmWave vital sensing.

Effect of snowfall on detection characteristics of automotive millimeter wave radar

KENGO SATO･KAZUMA TOGASHI (National Research Institute for Earth Science and Disaster Resilience)･KOUJI MORIKAWA (Meteorological Research Institute for Technology)･NAOTO HAGINO･HIDEO INOUE･SHIGEO KIMURA (Kanagawa Institute of Technology)

We propose an equation representing the reduction rate of received signals on in-vehicle millimetre-wave radars due to wet snow accumulation utilising publicly available meteorological data such as those from the Automated Meteorological Data Acquisition System. To derive this equation, we conducted signal reduction tests on millimetre-wave radars with varying the liquid water content(LWC) and thickness of snow specimen, alongside wind tunnel tests measuring snow accumulation growth on flat plates. The proposed equation is a function of the LWC and spatial density of the falling snow, as well as time.