Advanced Multi-Channel Echo Separation Techniques for High-Interference Automotive Radars
Source abstract
Abstract
This paper proposes an integrated multi-stage framework to enhance frequency modulated continuous wave (FMCW) automotive radar performance under high noise and interference. The four-stage pipeline is applied consecutively: (... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electromagnetic Compatibility and Measurements · Engineering Applied Research · Aerodynamics and Acoustics in Jet Flows
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (52)
Show source-provided references
1. New chirp sequence radar waveform10.1109/TAES.2014.120813 ↗
2. Millimeter wave FMCW RADARs for perception, recognition and localization in automotive applications: a survey10.1109/TIV.2022.3167733 ↗
3. Interference compression and mitigation for automotive FMCW radar systems10.1109/JSEN.2022.3204505 ↗
4. Modeling and simulation of automotive FMCW RADAR sensor for environmental perception10.1109/OJITS.2025.3554452 ↗
5. Interference mitigation for automotive FMCW radar based on contrastive learning with dilated convolution10.1109/TITS.2023.3306576 ↗
6. Mutual interference mitigation for automotive FMCW radar with time and frequency domain decomposition10.1109/TMTT.2023.3275816 ↗
7. A millimeter-wave automotive radar with high angular resolution for identification of closely spaced on-road obstacles10.1038/s41598-023-30406-4 ↗
8. Interference in automotive radar systems: characteristics, mitigation techniques, and current and future research10.1109/MSP.2019.2908214 ↗
9. High-performance automotive radar: a review of signal processing algorithms and modulation schemes10.1109/MSP.2019.2911722 ↗
10. Spurs in millimeter-wave FMCW radar system-on-chip10.1109/TRS.2023.3265845 ↗
11. Advancements in millimeter-wave radar technologies for automotive systems: a signal processing perspective10.3390/electronics14071436 ↗
12. Reframing fast-chirp FMCW transceivers for future automotive radar: the pathway to higher resolution10.1109/MSSC.2022.3167344 ↗
13. A 77-GHz 8RX3TX transceiver for 250-m long-range automotive radar in 40-nm CMOS technology10.1109/JSSC.2021.3050306 ↗
14. Integrated design and prototyping of a 77 GHz automotive medium range radar into car rear lamp10.1109/TVT.2023.3324986 ↗
15. Sparsity-based multi-person non-contact vital signs monitoring via FMCW radar10.1109/JBHI.2023.3255740 ↗
16. Target classification by mmWave FMCW radars using machine learning on range-angle images10.1109/JSEN.2021.3092583 ↗
17. A multi-target detection and position tracking algorithm based on mmWave-FMCW radar data10.1016/j.measurement.2024.114797 ↗
18. Independent component analysis: algorithms and applications10.1016/S0893-6080(00)00026-5 ↗
19. Independent component analysis: an introduction10.1016/j.aci.2018.08.006 ↗
20. Prediction of material properties of propellant waste modified bricks through microstructures by Topographic independent component analysis coupled 3D Convolution neural networks10.1016/j.ceramint.2022.04.064 ↗
21. The kernel recursive least-squares algorithm10.1109/TSP.2004.830985 ↗
22. Benesty · A perspective on stereophonic acoustic echo cancellation · 201110.1007/978-3-642-22574-1 ↗
23. Data-reuse recursive least-squares algorithms10.1109/LSP.2022.3153207 ↗
24. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis10.1098/rspa.1998.0193 ↗
25. A new view of nonlinear water waves: the Hilbert Spectrum10.1146/annurev.fluid.31.1.417 ↗
26. Ensemble empirical mode decomposition: a noise-assisted data analysis method10.1142/S1793536909000047 ↗
27. Why EMD and similar decompositions are of little benefit for bearing diagnostics10.1016/j.ymssp.2023.110207 ↗
28. Variational mode decomposition10.1109/TSP.2013.2288675 ↗
29. Multivariate variational mode decomposition10.1109/TSP.2019.2951223 ↗
30. Successive variational mode decomposition10.1016/j.sigpro.2020.107610 ↗
31. Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition10.1016/j.energy.2024.130493 ↗
32. A novel fault diagnosis method of rotating machinery via VMD, CWT and improved CNN10.1016/j.measurement.2022.111635 ↗
33. VMD and EEMD methods in respiration wave extraction based on PPG waves10.1088/1742-6596/1577/1/012040 ↗
34. EMD and VMD empowered deep learning for radio modulation recognition10.1109/TCCN.2022.3218694 ↗
35. An evaluation study of EMD, EEMD, and VMD for chatter detection in milling10.1016/j.procs.2022.01.215 ↗
36. Features method for selecting VMD parameters based on spectrum without modal overlap10.1088/1742-6596/1605/1/012002 ↗
37. Weak signal detection in chaotic noise background—based on VMD-EEMD and self-attention mechanisms10.1088/1742-6596/2851/1/012015 ↗
38. Data analysis using a combination of independent component analysis and empirical mode decomposition10.1103/PhysRevE.79.066705 ↗
39. Application of ICA-EEMD to secure communications in chaotic systems10.1142/S0129183112500283 ↗
40. Application combining VMD and ResNet101 in intelligent diagnosis of motor faults10.3390/s21186065 ↗
41. Application of empirical mode decomposition to improve deep learning for US GDP data forecasting10.1016/j.heliyon.2022.e08748 ↗
42. The application of machine learning ICA-VMD in an intelligent diagnosis system in a low SNR environment10.3390/s21248344 ↗
43. Self-supervised learning with data augmentations provably isolates content from style
44. Shortcut learning in deep neural networks10.1038/s42256-020-00257-z ↗
45. Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review10.3389/fnins.2019.00585 ↗
46. A new miniature ultra wide band planar microstrip antenna based on the metamaterial transmission line
47. Compact antenna based on a composite right/left-handed transmission line10.1002/mop.29191 ↗
48. Skolnik · Radar handbook · 2008
49. Richards · Fundamentals of radar signal processing · 2022
50. Fast and robust fixed-point algorithms for independent component analysis10.1109/72.761722 ↗
51. A fast fixed-point algorithm for independent component analysis10.1162/neco.1997.9.7.1483 ↗
52. High-order contrasts for independent component analysis10.1162/089976699300016863 ↗