文献类型：期刊文献

英文题名：Kendall's Tau-Based Spectrum Sensing with CFAR Property for Vehicular Communications Under Impulsive Noise

作者：Mou, Jie[1]; Yang, Yibang[1]; Lai, Huadong[2]; Dai, Jisheng[3]; Zhou, Yanzhou[4]; Xu, Weichao[1]

机构：[1] Guangdong University of Technology, School of Automation, Guangzhou, 510006, China; [2] Guangdong Ocean University, School of Electronics and Information Engineering, Zhanjiang, 524088, China; [3] Donghua University, College of Information Science and Technology, Shanghai, 201620, China; [4] Guangzhou Institute of Technology, Guangzhou, 510540, China

年份：2026

外文期刊名：IEEE Transactions on Vehicular Technology

收录：EI(收录号：20263021192682)、Scopus(收录号：2-s2.0-105045755777)

语种：英文

外文关键词：Alarm systems - Control systems - Errors - Gaussian distribution - Gaussian noise (electronic) - Image resolution - Real time control - Statistics

外文摘要：Reliable spectrum sensing is crucial for vehicular communication systems, where safe and efficient spectrum access must be ensured despite the presence of strong impulsive noise from ignitions, electronic control units, and motors. Conventional detectors, often designed under Gaussian noise assumptions, suffer severe performance degradation in such environments. To address this challenge, this paper proposes a robust nonparametric spectrum sensing method based on Kendall's Tau (KT) statistic. By exploiting the rank-based nature of KT, the proposed detector inherently suppresses impulsive outliers without requiring prior knowledge of primary user (PU) signal characteristics. Closed-form expressions for the mean and variance of the KT statistic under the contaminated Gaussian model (CGM) are derived, and its asymptotic normality is established using U-statistics theory. Importantly, since the null distribution of KT depends solely on the sample size, the detector achieves a constant false alarm rate (CFAR) across diverse noise environments. Furthermore, we design a pipelined systolic array hardware architecture that reduces the apparent quadratic complexity of KT to constant throughput, enabling real-time implementation under the strict latency constraints of vehicular systems. Simulation results demonstrate that the proposed KT detector significantly outperforms conventional detectors under impulsive noise, remains robust against non-CGM heavy-tailed interference. ? 1967-2012 IEEE.