| [1] |
XU Z, YUAN M. An interference mitigation technique for automotive millimeter wave radars in the tunable q-factor wavelet transform domain[J]. IEEE Transactions on Microwave Theory and Techniques, 2021, 69(12):5270-5283.
|
| [2] |
许致火, 施佺, 孙玲. 基于多径干扰认知的汽车毫米波雷达自适应波形优化方法[J]. 南京大学学报(自然科学), 2018, 54(3):597-603.
|
| [3] |
TORRES L L T, GREBNER T, WERBUNAT D, et al. Automotive radar interference mitigation by subtraction of the interference component[J]. IEEE Microwave and Wireless Technology Letters, 2023, 33(9):1397-1400.
|
| [4] |
许致火, 施佺, 孙玲. 一种正交随机相位编码的新型汽车脉冲雷达(English)[J]. 雷达学报, 2018, 7(3):364-375.
|
| [5] |
RAMEEZ M, PETTERSSON M I, DAHL M. Interference compression and mitigation for automotive FMCW radar systems[J]. IEEE Sensors Journal, 2022, 22(20):19739-19749.
|
| [6] |
NEEMAT S, KRASNOV O, YAROVOY A. An interference mitigation technique for FMCW radar using beat-frequencies interpolation in the STFT domain[J]. IEEE Transactions on Microwave Theory and Techniques, 2019, 67(3):1207-1220.
|
| [7] |
LEE S, LEE J Y, KIM S C. Mutual interference suppression using wavelet denoising in automotive FMCW radar systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(2):887-897.
|
| [8] |
WANG J, DING M, YAROVOY A. Matrix-pencil approach-based interference mitigation for FMCW radar systems[J]. IEEE Transactions on Microwave Theory and Techniques, 2021, 69(11):5099-5115.
|
| [9] |
BECHTER J, ROOS F, RAHMAN M, et al. Automotive radar interference mitigation using a sparse sampling approach[C]//2017 European Radar Conference (EURAD). Nuremberg: IEEE, 2017:90-93.
|
| [10] |
UMEHIRA M, NOZAWA T, MAKINO Y, et al. A novel iterative inter-radar interference reduction scheme for densely deployed automotive FMCW radars[C]//2018 19th International Radar Symposium (IRS). Bonn: IEEE, 2018:1-10.
|
| [11] |
NOZAWA T, MAKINO Y, TAKAYA N, et al. An anti-collision automotive FMCW radar using time-domain interference detection and suppression[C]//International Conference on Radar Systems (Radar 2017). Belfast: Institution of Engineering and Technology, 2017.
|
| [12] |
RAMEEZ M, DAHL M, PETTERSSON M I. Autoregressive model-based signal reconstruction for automotive radar interference mitigation[J]. IEEE Sensors Journal, 2021, 21(5):6575-6586.
|
| [13] |
YANG S, SHANG X. Iterative approaches to interference mitigation for automotive radar[C]//2022 IEEE Radar Conference (RadarConf 22). New York: IEEE, 2022:1-5.
|
| [14] |
WANG J. CFAR-based interference mitigation for FMCW automotive radar systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8):12229-12238.
|
| [15] |
JUNG J, LIM S, KIM J, et al. Interference suppression and signal restoration using kalman filter in automotive radar systems[C]//2020 IEEE International Radar Conference (RADAR). Washington: IEEE, 2020:726-731.
|
| [16] |
YANG W, AI M, WANG F, et al. Multi target detection algorithm for millimeter wave radar based on improved OS-CFAR[C]//2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS). Chengdu: IEEE, 2023:442-447.
|
| [17] |
ZHU J, HUANG X, LIU J, et al. Robust CFAR detector based on CLEAN for sidelobe suppression[J]. IEEE Sensors Journal, 2024, 24(9):14930-14942.
|
| [18] |
UMEHIRA M, MARUYAMA T, WATANABE Y, et al. Narrowband interference suppression using envelop detection-based interference replica regeneration for automotive CS radars[C]//2022 23rd International Radar Symposium (IRS). Gdansk: IEEE, 2022:48-53.
|
| [19] |
ZHANG X, LIU Z, KONG Y, et al. Mutual interference suppression using signal separation and adaptive mode decomposition in noncontact vital sign measurements[J]. IEEE Transactions on Instrumentation and Measurement, 2022,71: 1-15.
|
| [20] |
XU Z, XUE S, WANG Y. Incoherent interference detection and mitigation for millimeter-wave FMCW radars[J]. Remote Sensing, 2022, 14(19):4817.
|
| [21] |
LIU Z, LU W, WU J, et al. A PELT-KCN algorithm for FMCW radar interference suppression based on signal reconstruction[J]. IEEE Access, 2020,8:45108-45118.
|
| [22] |
MUN J, HA S, LEE J. Automotive radar signal interference mitigation using RNN with self attention[C]//ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona: IEEE, 2020:3802-3806.
|
| [23] |
CHEN S, TAGHIA J, KUHNAU U, et al. A Two-stage DNN model with Mask-gated convolution for automotive radar interference detection and mitigation[J]. IEEE Sensors Journal, 2022, 22(12):12017-12027.
|
| [24] |
CHEN S, KLEMP M, TAGHIA J, et al. Improved target detection through DNN-based Multi-channel interference mitigation in automotive radar[J]. IEEE Transactions on Radar Systems, 2023,1:75-89.
|
| [25] |
LIU P, LIU Y, HUANG T, et al. Decentralized automotive radar spectrum allocation to avoid mutual interference using reinforcement learning[J]. IEEE Transactions on Aerospace and Electronic Systems, 2021, 57(1):190-205.
|
| [26] |
WANG J, DING M, YAROVOY A. Matrix-pencil approach-based interference mitigation for FMCW radar systems[J]. IEEE Transactions on Microwave Theory and Techniques, 2021, 69(11):5099-5115.
|
| [27] |
LI Y, FENG B, ZHANG W. Mutual interference mitigation of millimeter-wave radar based on variational mode decomposition and signal reconstruction[J]. Remote Sensing, 2023, 15(3):557.
|
| [28] |
FUCHS J, DUBEY A, LUBKE M, et al. Automotive radar interference mitigation using a convolutional autoencoder[C]//2020 IEEE International Radar Conference (RADAR). Washington: IEEE, 2020:315-320.
|
| [29] |
ROCK J, ROTH W, TOTH M, et al. Resource-efficient deep neural networks for automotive radar interference mitigation[J]. IEEE Journal of Selected Topics in Signal Processing, 2021, 15(4):927-940.
|
| [30] |
WANG J, LI R, ZHANG X, et al. Interference mitigation for automotive FMCW radar based on contrastive learning with dilated convolution[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(1):545-558.
|
| [31] |
ZHANG H, WEI S, WANG M, et al. FUAS-net: feature-oriented unsupervised network for FMCW radar interference suppression[J]. IEEE Transactions on Microwave Theory and Techniques, 2024, 72(4):2602-2619.
|
| [32] |
CHEN S, TAGHIA J, KUHNAU U, et al. Automotive radar interference reduction based on sparse bayesian learning[C]//2020 IEEE Radar Conference (RadarConf 20). Florence: IEEE, 2020:1-6.
|
