scholarly journals Automotive radar interference study for different radar waveform types

2021 ◽  
Author(s):  
Utku Kumbul ◽  
Faruk Uysal ◽  
Cicero S. Vaucher ◽  
Alexander Yarovoy
Keyword(s):  
Automotive Radar ◽  
Interference Study

Error Reduction by Reflected Signals in Automotive Radar Network Systems

2015 ◽  
Vol E98.A (2) ◽  
pp. 597-605
Author(s):  
Hiroyuki HATANO ◽  
Masahiro FUJII ◽  
Atsushi ITO ◽  
Yu WATANABE ◽  
Yusuke YOSHIDA ◽  
...  
Keyword(s):  
Error Reduction ◽  
Automotive Radar ◽  
Network Systems ◽  
Radar Network

IMIKO-Radar Project: Laboratory Interference Measurements of Automotive Radar Sensors

2020 ◽  
Author(s):  
Alicja Ossowska ◽  
Leen Sit ◽  
Sarath Manchala ◽  
Thomas Vogler ◽  
Kevin Krupinski ◽  
...  
Keyword(s):  
Automotive Radar ◽  
Radar Sensors ◽  
Interference Measurements

Automotive Radars

2017 ◽  
Author(s):  
Sujeet Patole ◽  
Murat Torlak ◽  
Dan Wang ◽  
Murtaza Ali
Keyword(s):  
Signal Processing ◽  
Pedestrian Detection ◽  
Radar Signal ◽  
Automotive Radar ◽  
Estimation Algorithms ◽  
Radar Systems ◽  
Starting Point ◽  
Processing Techniques ◽  
Automotive Radars ◽  
Signal Processing Techniques

Automotive radars, along with other sensors such as lidar, (which stands for “light detection and ranging”), ultrasound, and cameras, form the backbone of self-driving cars and advanced driver assistant systems (ADASs). These technological advancements are enabled by extremely complex systems with a long signal processing path from radars/sensors to the controller. Automotive radar systems are responsible for the detection of objects and obstacles, their position, and speed relative to the vehicle. The development of signal processing techniques along with progress in the millimeter- wave (mm-wave) semiconductor technology plays a key role in automotive radar systems. Various signal processing techniques have been developed to provide better resolution and estimation performance in all measurement dimensions: range, azimuth-elevation angles, and velocity of the targets surrounding the vehicles. This article summarizes various aspects of automotive radar signal processing techniques, including waveform design, possible radar architectures, estimation algorithms, implementation complexity-resolution trade-off, and adaptive processing for complex environments, as well as unique problems associated with automotive radars such as pedestrian detection. We believe that this review article will combine the several contributions scattered in the literature to serve as a primary starting point to new researchers and to give a bird’s-eye view to the existing research community.

A Near-Range Radar Target Simulator for Automotive Radar Generating Targets of Vulnerable Road Users

2020 ◽  
Vol 30 (12) ◽  
pp. 1213-1216
Author(s):  
Johannes Iberle ◽  
Patrick Rippl ◽  
Thomas Walter
Keyword(s):  
Radar Target ◽  
Automotive Radar ◽  
Road Users ◽  
Vulnerable Road Users

scholarly journals Toward a fully integrated automotive radar system-on-chip in 22 nm FD-SOI CMOS

2021 ◽  
pp. 1-9
Author(s):  
Philipp Ritter
Keyword(s):  
Millimeter Wave ◽  
Flip Chip ◽  
Printed Circuit Board ◽  
Digital Signal ◽  
Cmos Technology ◽  
Radar System ◽  
Circuit Board ◽  
Processing Unit ◽  
Automotive Radar ◽  
On Chip

Abstract Next-generation automotive radar sensors are increasingly becoming sensitive to cost and size, which will leverage monolithically integrated radar system-on-Chips (SoC). This article discusses the challenges and the opportunities of the integration of the millimeter-wave frontend along with the digital backend. A 76–81 GHz radar SoC is presented as an evaluation vehicle for an automotive, fully depleted silicon-over-insulator 22 nm CMOS technology. It features a digitally controlled oscillator, 2-millimeter-wave transmit channels and receive channels, an analog base-band with analog-to-digital conversion as well as a digital signal processing unit with on-chip memory. The radar SoC evaluation chip is packaged and flip-chip mounted to a high frequency printed circuit board for functional demonstration and performance evaluation.

scholarly journals CARRADA Dataset: Camera and Automotive Radar with Range- Angle- Doppler Annotations

2021 ◽  
Author(s):  
Arthur Ouaknine ◽  
Alasdair Newson ◽  
Julien Rebut ◽  
Florence Tupin ◽  
Patrick Perez
Keyword(s):  
Automotive Radar
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