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Restoration of Automotive Radar Signals Under Mutual Interference by Digital In-Painting | IEEE Journals & Magazine | IEEE Xplore

Restoration of Automotive Radar Signals Under Mutual Interference by Digital In-Painting


Abstract:

In this article, we propose a method for mitigating the mutual interference in frequency-modulated continuous wave (FMCW) radar systems using a digital in-painting algori...Show More

Abstract:

In this article, we propose a method for mitigating the mutual interference in frequency-modulated continuous wave (FMCW) radar systems using a digital in-painting algorithm. The mutual interference occurs when signals transmitted from one radar are propagated directly or indirectly to a victim radar, consequently increasing the noise level. This increase makes it challenging for automotive radar systems to detect the desired target. The conventional interference mitigation methods may inadvertently leave residual frequency components around the target’s peak on the range-velocity map, which can affect the accuracy of target detection. Our proposed method, using the digital in-painting, enhances target detection performance by suppressing signals corresponding to the interference and reconstructing them using the surrounding signals. First, we identify the interference signal regions using the ordered-statistic constant false alarm rate (OS-CFAR) algorithm and suppress them. These identified regions are then reconstructed using the digital in-painting. Consequently, the range and velocity of the target can be accurately estimated. In both simulations and real-world measurements, the proposed method outperforms conventional methods in evaluation using signal-to-interference-plus-noise ratio (SINR) and error vector magnitude (EVM). Therefore, the proposed method can effectively mitigate mutual interference in radar systems.
Article Sequence Number: 5503717
Date of Publication: 15 July 2024

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