Results 21 to 30 of about 2,277 (132)
Synchronous and Asynchronous Radar Interference Mitigation
IEEE Access, 2019 This paper considers the interference mitigation problem for radar systems by focusing on emerging signal separation (decomposition) methods. We define appropriate transform domains to sparsely represent the interference and the signal of interest to ...
Faruk Uysal
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Minimizing interference in automotive radar using digital beamforming [PDF]
Advances in Radio Science, 2011 Millimetre wave radar is an essential part of automotive safety functions. A high interference tolerance, especially with other radar sensors, is vital. This paper gives an overview of the motivation, the boundary conditions and related activities in the
C. Fischer +3 more
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Calibration of Motional Frequency Spread for Wide-Band FMCW Automotive Millimeter-Wave Radar
IEEE Access, 2020 As a key module for self-driving cars and advanced driver assistant systems (ADAS), frequency modulation continuous wave (FMCW) automotive millimeter-wave (mmwave) radar has a good market prospect.
Cheng Zhang +5 more
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Sensors, 2022 Automotive radars, which are used for preceding vehicle tracking, have attracted significant attention in recent years. However, the false measurements that occur in cluttered roadways hinders the tracking process in vehicles; thus, it is essential to ...
Jung Min Pak
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Design of a Wide-Beam Microstrip Array Antenna for Automotive Radar Application
IEEE Access, 2021 In this paper, a novel wide-beam microstrip patch array antenna is proposed for automotive radar applications. Different from the regular wide-beam antenna, which is designed to achieve the wide-beam unit radiation performance, the proposed array antenna
Xinyan Yang, Xianfeng Liu
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Optimisation of sparse array configuration using ambiguity function in automotive radar application
The Journal of Engineering, 2019 Direction of arrival estimation is one of the key technologies in automotive radar system. The angular resolution is an important indicator for evaluating the radar performance.
Zou Le +3 more
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Combining automotive radar and LiDAR for surface detection in adverse conditions
IET Radar, Sonar & Navigation, 2021 Automotive radar and light detection and ranging (LiDAR) sensors have complementary strengths and weaknesses for 3D surface mapping. We present a method using Markov chain Monte Carlo sampling to recover surface returns from full‐wave longitudinal ...
Andrew M. Wallace +3 more
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Road Environment Recognition for Automotive FMCW RADAR Systems Through Convolutional Neural Network
IEEE Access, 2020 In this study, we propose a method to recognize road environments with automotive frequency-modulated continuous wave (FMCW) radar systems. For automotive radar systems on the road, diverse road environments are observed.
Heonkyo Sim +4 more
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Advanced Materials Technologies, EarlyView.ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
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Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
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