For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Mutual Interference Suppression and Signal Restoration in Automotive FMCW Radar Systems
Sohee LIM Seongwook LEE Jung-Hwan CHOI Jungmin YOON Seong-Cheol KIM
IEICE TRANSACTIONS on Communications
Publication Date: 2019/06/01
Online ISSN: 1745-1345
Type of Manuscript: PAPER
Category: Electromagnetic Compatibility(EMC)
automotive radars, frequency modulated continuous wave (FMCW), mutual interference suppression, signal restoration,
Full Text: PDF>>
This paper presents an interference suppression and signal restoration technique that can create the clean signals required by automotive frequency-modulated continuous wave radar systems. When a radar signal from another radar system interferes with own transmitted radar signal, the target detection performance is degraded. This is because the beat frequency corresponding to the target cannot be estimated owing to the increase in the noise floor. In this case, advanced weighted-envelope normalization or wavelet denoising can be used to mitigate the effect of the interference; however, these methods can also lead to the loss of the desired signal containing the range and velocity information of the target. Therefore, we propose a method based on an autoregressive model to restore a signal damaged by mutual interference. The method uses signals that are not influenced by the interference to restore the signal. In experiments conducted using two different automotive radar systems, our proposed method is demonstrated to effectively suppress the interference and restore the desired signal. As a result, the noise floor resulting from the mutual interference was lowered and the beat frequency corresponding to the desired target was accurately estimated.