期刊
REMOTE SENSING
卷 14, 期 19, 页码 -出版社
MDPI
DOI: 10.3390/rs14194817
关键词
millimeter-wave radar; frequency modulated continuous wave (FMCW); incoherent interference; sparse optimization
类别
资金
- National Natural Science Foundation of China [42005100]
- Nantong Science and Technology for Social and Livelihood Key Project [MS22022016]
This article presents a sparsity-based technique to mitigate the incoherent interference between automotive radars. It uses a low-pass filter to detect the interference envelope and restores the radar echoes using L1 norm-regularized least squares. The alternating direction method of multipliers is then applied to restore the radar echoes.
Current automotive radar technology is almost exclusively implemented using frequency modulated continuous wave (FMCW) radar in the millimeter wave bands. Unfortunately, incoherent interference is becoming a serious problem due to the increasing number of automotive radars in dense traffic situations. To address this issue, this article presents a sparsity-based technique for mitigating the incoherent interference between FMCW radars. First, a low-pass filter-based technique is developed to detect the envelope of the interference. Next, the labeled regions where interference is present are considered as missing data. In this way, the problem of mitigating interference is further formulated as the restoration of the echo using L1 norm-regularized least squares. Finally, the alternating direction method of the multipliers-based technique is applied to restore the radar echoes. Extensive experimental results demonstrate the effective performance of the proposed approach. Compared to state-of-the-art interference mitigation methods, the proposed method remarkably improves the quality of radar targets.
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