Identifying communication signals under low SNR environment has become more difficult
due to the increasingly complex communication environment. Most relevant literatures …

This work presents a spectrum sensing technique based on the entropy of frequency domain
autocorrelation of receiving signal at different cyclic frequencies. The performance of the …

The unknown noise variance and time-variant fading channels make the spectrum sensing
design a challenging task for cognitive radios. Most existing sensing methods suffer from the …

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Maritime cognitive radio networks (MCRNs) have recently been proposed for opportunistic
utilization of the licensed band. Spectrum sensing is one of the key issues for the successful …

The radio spectrum is one of the world's most highly regulated and limited natural resources.
The number of wireless devices has increased dramatically in recent years, resulting in a …

Cognitive radio has more extensive application in recent years, and it may operate in
complex wireless environmental condition such as communication systems with time-variant …

As the application scope of cognitive radio grows continuously, time‐variant flat fading
(TVFF) channels become common in practical spectrum sensing scenarios. Unfortunately …

Spectrum sensing is a key component to realise the cognitive radio. The main requirements
of spectrum sensing are the prediction of signal status in multiple frequency bands in a low …

Recently maritime cognitive radio network is proposed to provide high bandwidth and low
communication cost for maritime users. Spectrum sensing is one of the key issues to …