TY - GEN
T1 - AN ADAPTIVE INTERFERENCE CANCELLATION METHOD FOR AUTOMOTIVE FMCW RADAR BASED ON WAVEFORM OPTIMIZATION
AU - Li, Yang
AU - Wang, Chuyuan
AU - Li, Feng
AU - Han, Xue
AU - Song, Yuhang
N1 - Publisher Copyright:
© 2020 IET Conference Proceedings. All rights reserved.
PY - 2020
Y1 - 2020
N2 - With the widespread use of automotive FMCW radars, the problem of mutual interference cannot be ignored. The mutual interference will directly increase the signal noise floor and even result in false targets in a few cases. To solve this problem, this paper proposes an interference mitigation method using an adaptive canceller. Firstly, the particle swarm optimization algorithm was used to minimize the correlation between the waveforms of the victim radar and the interfering radar. Then, the optimal filtering is achieved by the Least Mean Squares (LMS) algorithm based on the reference signal to output interference suppression result. The simulation results show that the proposed method has a good performance on multi-type interference mitigation.
AB - With the widespread use of automotive FMCW radars, the problem of mutual interference cannot be ignored. The mutual interference will directly increase the signal noise floor and even result in false targets in a few cases. To solve this problem, this paper proposes an interference mitigation method using an adaptive canceller. Firstly, the particle swarm optimization algorithm was used to minimize the correlation between the waveforms of the victim radar and the interfering radar. Then, the optimal filtering is achieved by the Least Mean Squares (LMS) algorithm based on the reference signal to output interference suppression result. The simulation results show that the proposed method has a good performance on multi-type interference mitigation.
KW - ADAPTIVE CANCELLATION
KW - AUTOMOTIVE RADAR
KW - INTERFERENCE MITIGATION
UR - http://www.scopus.com/inward/record.url?scp=85145774313&partnerID=8YFLogxK
U2 - 10.1049/icp.2021.0741
DO - 10.1049/icp.2021.0741
M3 - Conference contribution
AN - SCOPUS:85145774313
VL - 2020
SP - 666
EP - 670
BT - IET Conference Proceedings
PB - Institution of Engineering and Technology
T2 - 5th IET International Radar Conference, IET IRC 2020
Y2 - 4 November 2020 through 6 November 2020
ER -