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.
- Modulation type classification of interference signals in automotive radar systems J. Kim et al. https://doi.org/10.1049/iet-rsn.2018.5521
- Radar and Communication Spectral Coexistence on Moving Platform with Interference Suppression J. Qian et al. https://doi.org/10.3390/rs14195018
- FMCW Interference Waveform Estimation Based on Intentional Local Interference for Automotive Radars S. Cheon et al. https://doi.org/10.26866/jees.2024.4.r.222
- A PELT-KCN Algorithm for FMCW Radar Interference Suppression Based on Signal Reconstruction Z. Liu et al. https://doi.org/10.1109/ACCESS.2020.2977098
- Mutual interferences in frequency-modulated continuous-wave (FMCW) LiDARs I. Hwang et al. https://doi.org/10.1016/j.ijleo.2020.165109
- An Interference Mitigation Technique for FMCW Radar Using Beat-Frequencies Interpolation in the STFT Domain S. Neemat et al. https://doi.org/10.1109/TMTT.2018.2881154
- IRNet: Interference Recognition Networks for Automotive Radars via Autocorrelation Features Q. Qu et al. https://doi.org/10.1109/TMTT.2022.3151635
- Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles F. De Ponte Müller https://doi.org/10.3390/s17020271
- RadChat: Spectrum Sharing for Automotive Radar Interference Mitigation C. Aydogdu et al. https://doi.org/10.1109/TITS.2019.2959881
- K- and W-Band Free-Space Characterizations of Highly Conductive Radar Absorbing Materials N. Vohra & M. El-Shenawee https://doi.org/10.1109/TIM.2020.3041821
- Minimizing interference in automotive radar using digital beamforming C. Fischer et al. https://doi.org/10.5194/ars-9-45-2011
- Designing fail-safe and traffic efficient 802.11p-based rear-end collision avoidance N. An et al. https://doi.org/10.1016/j.adhoc.2015.08.006
- Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning P. Liu et al. https://doi.org/10.1109/TAES.2020.3011869
- Blind Cancellation in Radar-Based Self Driving Vehicles R. Singh et al. https://doi.org/10.1109/TVT.2020.2994078
- Simultaneous Visible Light Communication and Distance Measurement Based on the Automotive Lighting B. Bechadergue et al. https://doi.org/10.1109/TIV.2019.2938087
- GCN-CNVPS: Novel Method for Cooperative Neighboring Vehicle Positioning System Based on Graph Convolution Network C. Lin et al. https://doi.org/10.1109/ACCESS.2021.3127914
- Interference-Robust Processing of OFDM Radar Signals Using Compressed Sensing C. Knill et al. https://doi.org/10.1109/LSENS.2020.2980165
- Vehicle-to-Vehicle Visible Light Phase-Shift Rangefinder Based on the Automotive Lighting B. Bechadergue et al. https://doi.org/10.1109/JSEN.2018.2839673
- Mutual Interference Suppression and Signal Restoration in Automotive FMCW Radar Systems S. LIM et al. https://doi.org/10.1587/transcom.2018EBP3175
- Interference Mitigation in Automotive Radars Using Pseudo-Random Cyclic Orthogonal Sequences S. Skaria et al. https://doi.org/10.3390/s19204459
- Compact MIMO Radar of Improved Angular Resolution Using Interleaved Array Geometry A. Mukherjee & D. Sarkar https://doi.org/10.1109/TVT.2023.3337800
- Improvement of Ranging Accuracy during Interference Avoidance for Stepped FM Radar Using Khatri-Rao Product Extended-Phase Processing K. JIMI et al. https://doi.org/10.1587/transcom.2018EBP3042
- Deep-Learning-Based Velocity Estimation for FMCW Radar With Random Pulse Position Modulation T. Sang et al. https://doi.org/10.1109/LSENS.2022.3156882
- Performance Analysis of Uncoordinated Interference Mitigation for Automotive Radar Y. Wang et al. https://doi.org/10.1109/TVT.2022.3222448
- Matrix-Pencil Approach-Based Interference Mitigation for FMCW Radar Systems J. Wang et al. https://doi.org/10.1109/TMTT.2021.3090798
- Mutual Interference-resilient Vehicular Spread Spectrum Radar Using ZCZ Code B. Kim & J. Lee https://doi.org/10.14372/IEMEK.2016.11.1.29
- A Review on Automotive RADAR M. James et al. https://doi.org/10.26634/jic.2.4.3244
- Interference Analysis for mmWave Automotive Radar Considering Blockage Effect L. Kui et al. https://doi.org/10.3390/s21123962
- Interference avoidance and cancellation in automotive OFDM radar networks Y. Lin et al. https://doi.org/10.1007/s11265-020-01539-w
- Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization M. Brune et al. https://doi.org/10.3390/app14062267
- Robust Vehicle Detection under Various Environmental Conditions Using an Infrared Thermal Camera and Its Application to Road Traffic Flow Monitoring Y. Iwasaki et al. https://doi.org/10.3390/s130607756
- Mutual Interference Suppression Using Wavelet Denoising in Automotive FMCW Radar Systems S. Lee et al. https://doi.org/10.1109/TITS.2019.2961235
- Demonstration on Range and Doppler Spread of Ghost Target in Automotive LFMCW Radar M. Wang et al. https://doi.org/10.1109/TIM.2024.3420360
- Interference Compression and Mitigation for Automotive FMCW Radar Systems M. Rameez et al. https://doi.org/10.1109/JSEN.2022.3204505
- Autoregressive Model-Based Signal Reconstruction for Automotive Radar Interference Mitigation M. Rameez et al. https://doi.org/10.1109/JSEN.2020.3042061
- Robust Vehicle Detection under Various Environments to Realize Road Traffic Flow Surveillance Using an Infrared Thermal Camera Y. Iwasaki et al. https://doi.org/10.1155/2015/947272
- A Peer-to-Peer Interference Analysis for Automotive Chirp Sequence Radars G. Kim et al. https://doi.org/10.1109/TVT.2018.2848898
- Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey Z. Wei et al. https://doi.org/10.1109/JIOT.2023.3235618
- Mutual Interferences of a True-Random LiDAR With Other LiDAR Signals I. Hwang & C. Lee https://doi.org/10.1109/ACCESS.2020.3004891
- Interference Characterization and Power Optimization for Automotive Radar With Directional Antenna P. Chu et al. https://doi.org/10.1109/TVT.2020.2968929
- Automotive radar interference study for different radar waveform types U. Kumbul et al. https://doi.org/10.1049/rsn2.12203
- A 79 GHz SiGe Doherty Power Amplifier Suitable for Next-Generation Automotive Radar J. Schoepfel et al. https://doi.org/10.1109/JMW.2024.3419430
- A Novel Millimeter‐Wave Radar Interference Suppression Method Based on VMD and VI‐CFAR Algorithms C. Lv et al. https://doi.org/10.1155/2024/2305711
- Design and Fabrication of 77-GHz Radar Absorbing Materials Using Frequency-Selective Surfaces for Autonomous Vehicles Application M. Kim & S. Kim https://doi.org/10.1109/LMWC.2019.2949141
- Modeling and Experiment Verification of Transmissivity of Low-THz Radar Signal Through Vehicle Infrastructure Y. Xiao et al. https://doi.org/10.1109/JSEN.2020.2982984
- Proposal of multiple access FMCW radar for inter‐radar interference avoidance M. Kurosawa et al. https://doi.org/10.1049/joe.2019.0166
- Current Challenges for Visible Light Communications Usage in Vehicle Applications: A Survey A. Cailean & M. Dimian https://doi.org/10.1109/COMST.2017.2706940
- 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. https://doi.org/10.1007/s10854-026-16869-x
- Modeling and Statistical Characterization of Large-Scale Automotive Radar Networks M. Shah et al. https://doi.org/10.1109/TSP.2026.3659022
- A Noise Analysis of 4D RADAR: Robust Sensing for Automotive? P. Chan et al. https://doi.org/10.1109/JSEN.2025.3556518
- FMCW Radar System Interference Mitigation Based on Time-Domain Signal Reconstruction Z. Xu & S. Wei https://doi.org/10.3390/s23167113
- On the Use of Low-Cost Radar Networks for Collision Warning Systems Aboard Dumpers J. González-Partida et al. https://doi.org/10.3390/s140303921
- Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation F. Roos et al. https://doi.org/10.1109/MMM.2019.2922120
- Alien Pulse Rejection in Concurrent Firing LIDAR G. Kim et al. https://doi.org/10.3390/rs14051129
- Recognition, Reconstruction, and Suppression of Range Overlapped Ghost Target Based on Dual Receiving Channels for LFMCW Radar M. Wang et al. https://doi.org/10.1109/JSEN.2025.3547792
- The Rise of Radar for Autonomous Vehicles: Signal Processing Solutions and Future Research Directions I. Bilik et al. https://doi.org/10.1109/MSP.2019.2926573
- Reduction of In-Band Interferences’ Effect Using Subspace Algorithms in Radio Channel Data S. Üstün Ercan & H. Gökalp https://doi.org/10.18100/ijamec.270956
- An accelerated architecture of change‐point detection for FMCW radar mutual interference based on FPGA S. Yang et al. https://doi.org/10.1002/cta.3127
- Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies C. Aydogdu et al. https://doi.org/10.1109/MSP.2020.2969319
- Mutual Interference Suppression Using Clipping and Weighted-Envelope Normalization for Automotive FMCW Radar Systems J. CHOI et al. https://doi.org/10.1587/transcom.2015EBP3152
- A Literature Review of Performance Metrics of Automated Driving Systems for On-Road Vehicles M. Sharath & B. Mehran https://doi.org/10.3389/ffutr.2021.759125
- Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar Systems W. Lee & S. Lee https://doi.org/10.1109/ACCESS.2022.3141543
- Mutual Interference Mitigation for Multiple Connected Automotive Radar Systems A. Bose et al. https://doi.org/10.1109/TVT.2021.3108714
- Radar Detection in Vehicular Networks: Fine-Grained Analysis and Optimal Channel Access G. Ghatak et al. https://doi.org/10.1109/TVT.2022.3163390
- ANALYSIS OF INTERFERENCE BETWEEN VAST NUMBERS OF AUTOMOTIVE RADARS CONSIDERING STOCHASTIC TEMPORAL CONDITIONS K. Hahmann et al. https://doi.org/10.2528/PIERM20051803
Latest update: 12 Jun 2026
