In recent years, the Internet of Things (IoT) paradigm has gained much popularity due to its
potential ability to integrate the physical world with the digital world. However, this digital …

Spectrum sensing for cognitive radio requires effective monitoring of wide bandwidths,
which translates into high-rate sampling. Traditional spectrum sensing methods employing …

The Pietra-Ricci index is often used in economic and social sciences as a measure of
inequality. In this Correspondence, the index is adapted to the cooperative spectrum …

In this article, a novel spectrum sensing technique for cognitive radio (CR) is proposed
where eigenvalues of the covariance matrix of the received signal are used as features for …

The Gerschgorin circle theorem was recently applied to build two detectors for the purpose
of spectrum sensing in cognitive radio applications, the so-called Gerschgorin radius-based …

We investigate the spectrum sensing problem in a single-input-multiple-output cognitive
radio system under in-phase and quadrature imbalance (IQI). To do this, the received signal …

This work addresses the target-detection problem in a passive multistatic radar consisting of
one transmitter and several spatially separated receivers (ie, single-input multiple-output …

Cognitive radio (CR) has been classified as a promising technology which can significantly
mitigate the impact of spectrum underutilization and spectrum scarceness arising from …

Recently, the Gini index detector (GID) has been proposed as an alternative for data-fusion
cooperative spectrum sensing, being mostly suitable for channels with line-of-sight or …

Noise uncertainty can severely deteriorate a primary user (PU) detector's sensing
performance, so robustness against the noise uncertainty is of fundamental significance in …