Golay pairs waveform for automotive radar target parameters estimation
Sign Up to like & getrecommendations! Published in 2021 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-021-01853-1
Abstract: This study considers Golay pair waveform for estimating target parameters in the context of automotive radar operating at 77 GHz. We first provide our proposed scheme reception adapted to the new shaping of the Golay pair… read more here.
Keywords: golay; target parameters; automotive radar; target ... See more keywords
Performance evaluation of a state-of-the-art automotive radar and corresponding modeling approaches based on a large labeled dataset
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2021.1959328
Abstract: Radar is a key sensor to achieve a reliable environment perception for advanced driver assistance system and automated driving (ADAS/AD) functions. Reducing the development efforts for ADAS functio... read more here.
Keywords: evaluation state; automotive radar; performance evaluation; radar ... See more keywords
A 24/77 GHz Dual-Band Receiver for Automotive Radar Applications
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2904493
Abstract: A fully-integrated 24/77 GHz dual-band receiver is presented for automotive radar applications. The proposed receiver consists of a dual-band LNA, a dual-band sub-sampling PLL, and a wideband mixer, operating at 24 and 77 GHz alternatively.… read more here.
Keywords: dual band; ghz dual; automotive radar; band ... See more keywords
A Machine Learning Perspective on Automotive Radar Direction of Arrival Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3141587
Abstract: Millimeter-wave sensing using automotive radar imposes high requirements on the applied signal processing in order to obtain the necessary resolution for current imaging radar. High-resolution direction of arrival estimation is needed to achieve the desired… read more here.
Keywords: automotive radar; arrival estimation; resolution; radar ... See more keywords
Deep Learning Based Image Enhancement for Automotive Radar Trained With an Advanced Virtual Sensor
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3166227
Abstract: This paper introduces a novel deep learning based concept for image enhancement and distortion suppression in automotive radar signal processing. The deep neural network (DNN) is trained solely on virtual data that is generated by… read more here.
Keywords: radar signal; automotive radar; advanced virtual; virtual sensor ... See more keywords
Super Resolution Wide Aperture Automotive Radar
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2021.3085677
Abstract: State-of-the-art automotive radars have an angular resolution of 1°, which is insufficient for estimating the objects shape and boundaries at long distance. In this paper, we design a novel automotive radar with 1m aperture, which… read more here.
Keywords: aperture; super resolution; wide aperture; automotive radar ... See more keywords
Multitarget Simulator for Automotive Radar Sensors With Unknown Chirp-Sequence Modulation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Microwave and Wireless Components Letters"
DOI: 10.1109/lmwc.2021.3088882
Abstract: In order to test and verify radar-based systems for advanced driver assistance systems, radar target simulators offer a test environment for reproducible dynamic automotive scenarios. This article presents a system capable of generating multiple targets… read more here.
Keywords: multitarget simulator; simulator automotive; chirp sequence; automotive radar ... See more keywords
An Efficient Method for Cooperative Multi-Target Localization in Automotive Radar
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3121626
Abstract: We consider the problem of locating multiple targets using automotive radar by exploiting a pair of cooperative vehicles, which form a mono- and bi-static sensing system to provide spatial diversity for localization. Each of the… read more here.
Keywords: system; mono static; localization; automotive radar ... See more keywords
PCB Laminates for Automotive Radar Antenna Modules Under Different Environmental Conditions
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2019.2920286
Abstract: Radar systems have become more important in the automotive field, especially for autonomous driving. A crucial part of the hardware is the antenna which is connected by lines to the radar chip. These components are… read more here.
Keywords: pcb laminates; environmental conditions; radar antenna; automotive radar ... See more keywords
CMOS Automotive Radar Sensors: mm-Wave Circuit Design Challenges
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3170317
Abstract: This brief gives an overview of recent advancements in CMOS automotive radar sensors, focusing on the most critical circuit design at mm-wave frequencies. Highly scaled CMOS technologies enable very low-power consumption, reduced costs, and higher… read more here.
Keywords: automotive radar; circuit design; cmos automotive; circuit ... See more keywords
TDM-MIMO Automotive Radar Point-Cloud Detection Based on the 2-D Hybrid Sparse Antenna Array
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3166770
Abstract: Automotive radar plays an important role in the field of advanced driver assistant systems (ADASs), in the detection of unmanned aerial vehicles (UAV), and so on. Most automotive radar products can only estimate the azimuth,… read more here.
Keywords: automotive radar; point cloud; mimo; radar ... See more keywords