2026· IEEE Transactions on Aerospace and Electronic Systems· Vol 62, pp. 15250-15268· 0 citations· 43 references
Abstract
Automotive radar is a key sensing modality in advanced driver-assistance systems. In dense traffic environments, mutual radar interference can significantly degrade detection performance. This article presents a robust moving mean filtering (MMF)-median absolute deviation (MAD)-iterative subspace projection (ISP) algorithm designed for realistic operating conditions, where multipath propagation of interference signals introduces chirp distortions. The proposed method exploits the observation that, after dechirping and low-pass filtering, noncoherent interference manifests as sudden amplitude spikes within individual chirps. Interference samples are first detected using an MAD criterion following MMF, and subsequently reconstructed via the ISP method. The proposed approach accommodates multiple interference sources as well as extended static reflectors, such as guardrails. Compared with existing methods, it achieves effective interference suppression in complex traffic scenarios while maintaining reasonable computational time. The performance of the method is validated through numerical simulations and experimental measurements.
Target localization in automotive MIMO radar systems faces significant challenges in dense urban environments due to mutual interference between vehicles. While 2D-FFT based estimators are widely used, their performance degrades sharply in the presence of high-power chirp interference. This paper proposes a comprehensi...
Alireza Zaherfekr, Mohammad Javad Ghoreishian, A. Ebrahimzadeh· IEEE Access· 0 citations
Since frequency-modulated continuous-wave (FMCW) radars are widely used in automotive applications, mutual interference has become a critical challenge in dense traffic scenarios. Increasing radar density degrades target detection performance and limits the effectiveness of existing mitigation strategies. This article...
Arianit Preniqi, O. Lang, Stefan Schmalzl et al.· IEEE Transactions on Radar S...· 0 citations
Millimeter-wave (mmWave) frequency-modulated continuous-wave (FMCW) radar is currently widely deployed in modern vehicles for advanced driver-assistance systems, and is regarded as one of the most promising sensing modalities for future autonomous vehicle systems. Compared with other major vehicular sensors, such as ca...
Yudai Suzuki, Xiao-Yan Wang, Masahiro Umehira et al.· IEEE Transactions on Aerospa...· 0 citations
Urban low-altitude sensing is a critical application scenario for the Integrated Sensing and Communication (ISAC) system. However, detecting low-altitude, slow-moving and small (LSS) targets such as unmanned aerial vehicles (UAVs) in complex urban environments faces great challenges. In particular, multipath effects an...
Kai-Yue Zeng, Li Zhang, Bo-Yang Hu et al.· 2026 IEEE/CIC International...· 0 citations
Reconfigurable intelligent surfaces (RISs) have emerged as a promising technology for improving communication reliability in radar-communication coexistence (RCC) scenarios, particularly for communication users (CUs) located inside radar exclusion zones, where only the radar is permitted to operate and the two systems...
Rawan Derbas, Shimaa Naser, Hamad Yahya et al.· 0 citations
