30 Sep 2010
Automotive radar – investigation of mutual interference mechanisms
M. Goppelt
Institute of Micowave Techniques, University of Ulm, 89081 Ulm, Germany
H.-L. Blöcher
Group Research & Advanced Engineering, Daimler AG, 89081 Ulm, Germany
W. Menzel
Institute of Micowave Techniques, University of Ulm, 89081 Ulm, Germany
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Cited
65 citations as recorded by crossref.
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- Deep-Learning-Based Velocity Estimation for FMCW Radar With Random Pulse Position Modulation T. Sang et al.
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- Demonstration on Range and Doppler Spread of Ghost Target in Automotive LFMCW Radar M. Wang et al.
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- Autoregressive Model-Based Signal Reconstruction for Automotive Radar Interference Mitigation M. Rameez et al.
- Robust Vehicle Detection under Various Environments to Realize Road Traffic Flow Surveillance Using an Infrared Thermal Camera Y. Iwasaki et al.
- A Peer-to-Peer Interference Analysis for Automotive Chirp Sequence Radars G. Kim et al.
- Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey Z. Wei et al.
- Mutual Interferences of a True-Random LiDAR With Other LiDAR Signals I. Hwang & C. Lee
- Interference Characterization and Power Optimization for Automotive Radar With Directional Antenna P. Chu et al.
- Automotive radar interference study for different radar waveform types U. Kumbul et al.
- A 79 GHz SiGe Doherty Power Amplifier Suitable for Next-Generation Automotive Radar J. Schoepfel et al.
- A Novel Millimeter‐Wave Radar Interference Suppression Method Based on VMD and VI‐CFAR Algorithms C. Lv et al.
- Design and Fabrication of 77-GHz Radar Absorbing Materials Using Frequency-Selective Surfaces for Autonomous Vehicles Application M. Kim & S. Kim
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- Current Challenges for Visible Light Communications Usage in Vehicle Applications: A Survey A. Cailean & M. Dimian
- Synthesis of nanoparticles of Fe, Co, and Ni oxides derived of metal–organic framework (MOF), and their combination with carbonyl iron for application in the K-band of frequencies as a microwave-absorbing material F. Yamamoto et al.
- Modeling and Statistical Characterization of Large-Scale Automotive Radar Networks M. Shah et al.
- A Noise Analysis of 4D RADAR: Robust Sensing for Automotive? P. Chan et al.
- FMCW Radar System Interference Mitigation Based on Time-Domain Signal Reconstruction Z. Xu & S. Wei
- On the Use of Low-Cost Radar Networks for Collision Warning Systems Aboard Dumpers J. González-Partida et al.
- Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation F. Roos et al.
- Alien Pulse Rejection in Concurrent Firing LIDAR G. Kim et al.
- Recognition, Reconstruction, and Suppression of Range Overlapped Ghost Target Based on Dual Receiving Channels for LFMCW Radar M. Wang et al.
- The Rise of Radar for Autonomous Vehicles: Signal Processing Solutions and Future Research Directions I. Bilik et al.
- Reduction of In-Band Interferences’ Effect Using Subspace Algorithms in Radio Channel Data S. Üstün Ercan & H. Gökalp
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- Mutual Interference Suppression Using Clipping and Weighted-Envelope Normalization for Automotive FMCW Radar Systems J. CHOI et al.
- A Literature Review of Performance Metrics of Automated Driving Systems for On-Road Vehicles M. Sharath & B. Mehran
- Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar Systems W. Lee & S. Lee
- Mutual Interference Mitigation for Multiple Connected Automotive Radar Systems A. Bose et al.
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- ANALYSIS OF INTERFERENCE BETWEEN VAST NUMBERS OF AUTOMOTIVE RADARS CONSIDERING STOCHASTIC TEMPORAL CONDITIONS K. Hahmann et al.
Latest update: 23 May 2026
