Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …

Cognitive radio (CR) has been considered as a potential candidate for addressing the
spectrum scarcity problem of future wireless networks. Since its conception, several …

A concise survey of the literature on cyclostationarity of the last 10 years is presented and an
extensive bibliography included. The problems of statistical function estimation, signal …

Cognitive radio requires efficient and reliable spectrum sensing of wideband signals. In
order to cope with the sampling rate bottleneck, new sampling methods have been …

This paper presents new spectrum sensing algorithms based on the cumulative power
spectral density (CPSD). The proposed detectors examine the CPSD of the received signal …

Based on the use of compressed sensing applied to recover the sparse cyclic
autocorrelation (CA) in the cyclic frequencies domain on the one hand, and by exploiting the …

Cognitive Radio (CR) is projected to be the next disruptive radio communications and
networking technology and has already attracted considerable interest from researchers …

Spectrum sensing is a key technique in cognitive radio networks (CRNs), which enables
cognitive radio nodes to detect the unused spectrum holes for dynamic spectrum access. In …

推导了自适应压缩感知中的重构估算误差, 研究了如何降低观测矩阵列向量之间的自相关性,
分析了观测矩阵优化对压缩感知重构算法的影响. 将观测矩阵优化与压缩感知自适应过程相结合 …

Cyclostationary Feature Detectors (CFD) have been studied in the past few years as an
efficient and feasible candidate for a Primary User (PU) detection method. CFD detector is …