Research graph
References from Evaluating deep learning approaches for mitigating interference in automotive radar systems. Local targets link to admitted publications; unresolved targets remain external evidence.
”Automotive radar the key technology for autonomous driving: From detection and ranging to environmental understanding”
2016 · External reference
Automotive radar - from first efforts to future systems
10.1109/jmw.2020.3033616 · 2021 · External reference
Interference in automotive radar systems: Characteristics, mitigation techniques, and current and future research
10.1109/msp.2019.2908214 · 2019 · External reference
Automotive radar - an investigation of mutual interference mechanisms
10.5194/ars-8-55-2010 · 2010 · External reference
Experimental evaluation of adaptive beamforming for automotive radar interference suppression
2020 · External reference
A PELT-KCN algorithm for FMCW radar interference suppression based on signal reconstruction
10.1109/access.2020.2977098 · 2020 · External reference
Analytical and experimental investigations on mitigation of interference in a DBF MIMO radar
10.1109/tmtt.2017.2668404 · 2017 · External reference
10.1109/radar42522.2020.9114723
10.1109/radar42522.2020.9114723 · External reference
An interference mitigation technique for FMCW radar using beat-frequencies interpolation in the STFT domain
10.1109/tmtt.2018.2881154 · 2019 · External reference
Autoregressive model-based signal reconstruction for automotive radar interference mitigation
10.1109/jsen.2020.3042061 · 2021 · External reference
Interference compression and mitigation for automotive FMCW radar systems
10.1109/jsen.2022.3204505 · 2022 · External reference
A novel iterative inter-radar interference reduction scheme for densely deployed automotive FMCW radars
2018 · External reference
An anti-collision automotive FMCW radar using time-domain interference detection and suppression
2017 · External reference
Automotive radar interference mitigation using a convolutional autoencoder
2020 · External reference
Deep interference mitigation and denoising of real-world FMCW radar signals
2020 · External reference
Fully convolutional neural networks for automotive radar interference mitigation
2020 · External reference
10.1109/radarconf2147009.2021.9455296
10.1109/radarconf2147009.2021.9455296 · External reference
Automotive radar signal interference mitigation using RNN with self attention
2020 · External reference
10.23919/eurad50154.2022.9784516
10.23919/eurad50154.2022.9784516 · External reference
A DNN autoencoder for automotive radar interference mitigation
2021 · External reference
Resource-efficient deep neural networks for automotive radar interference mitigation
10.1109/jstsp.2021.3062452 · 2021 · External reference
Unresolved reference
2023 · External reference
Range Doppler detection for automotive FMCW radars
2007 · External reference
Discussion of the operating range of frequency modulated radars in the presence of interference
10.1017/s1759078714000221 · 2014 · External reference
Deep sparse rectifier neural networks
2011 · External reference
Batch normalization: Accelerating deep network training by reducing internal covariate shift
2015 · External reference
Unresolved reference
2007 · External reference
Unresolved reference
2012 · External reference
Adam: A method for stochastic optimization
2015 · External reference
U-net: Convolutional networks for biomedical image segmentation
10.1007/978-3-319-24574-4_28 · 2015 · External reference
Squeeze-and-excitation networks
2018 · External reference
Unresolved reference
2018 · External reference
U-net: Convolutional networks for biomedical image segmentation
10.1007/978-3-319-24574-4_28 · ExternalCitation · doi-reference
Discussion of the operating range of frequency modulated radars in the presence of interference
10.1017/s1759078714000221 · ExternalCitation · doi-reference
A PELT-KCN algorithm for FMCW radar interference suppression based on signal reconstruction
10.1109/access.2020.2977098 · ExternalCitation · doi-reference
Automotive radar - from first efforts to future systems
10.1109/jmw.2020.3033616 · ExternalCitation · doi-reference
Autoregressive model-based signal reconstruction for automotive radar interference mitigation
10.1109/jsen.2020.3042061 · ExternalCitation · doi-reference
Interference compression and mitigation for automotive FMCW radar systems
10.1109/jsen.2022.3204505 · ExternalCitation · doi-reference
Resource-efficient deep neural networks for automotive radar interference mitigation
10.1109/jstsp.2021.3062452 · ExternalCitation · doi-reference
Interference in automotive radar systems: Characteristics, mitigation techniques, and current and future research
10.1109/msp.2019.2908214 · ExternalCitation · doi-reference
10.1109/radar42522.2020.9114723
10.1109/radar42522.2020.9114723 · ExternalCitation · doi-reference
10.1109/radarconf2147009.2021.9455296
10.1109/radarconf2147009.2021.9455296 · ExternalCitation · doi-reference
Analytical and experimental investigations on mitigation of interference in a DBF MIMO radar
10.1109/tmtt.2017.2668404 · ExternalCitation · doi-reference
An interference mitigation technique for FMCW radar using beat-frequencies interpolation in the STFT domain
10.1109/tmtt.2018.2881154 · ExternalCitation · doi-reference
10.23919/eurad50154.2022.9784516
10.23919/eurad50154.2022.9784516 · ExternalCitation · doi-reference
Automotive radar - an investigation of mutual interference mechanisms
10.5194/ars-8-55-2010 · ExternalCitation · doi-reference
