Energy detection based spectrum sensing in the presence of time-frequency double selective fading propagations

Bin Li, Chenglin Zhao, Mengwei Sun, Arumugam Nallanathan

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

In this investigation, we present a spectrum sensing
algorithm for distributed cognitive applications in the presence
of time and frequency double-selective channels (TF-DSFCs).
Firstly, a dynamic discrete state-space (DSM) model is established
to characterize the sensing process. With this new paradigm,
spectrum sensing is then realized by acquiring primary states
and time-dependent multipath response jointly. To accomplish
this, an efficient estimation algorithm is designed by resorting
to a sequential importance sampling technique, in which the
time-varying non-Gaussian multipath channel and primary state
are recursively recovered. As demonstrated by simulations, the
proposed algorithm may effectively enhance sensing performance
by exploiting the blindly recovered channel response.
Original languageEnglish
Title of host publicationGlobal Communications Conference (GLOBECOM), 2014 IEEE
PublisherIEEE
Pages3051-3056
Number of pages6
DOIs
Publication statusPublished - Dec 2014
EventGlobal Communications Conference (GLOBECOM) - Texas, Austin, United States
Duration: 8 Dec 201412 Dec 2014

Conference

ConferenceGlobal Communications Conference (GLOBECOM)
Country/TerritoryUnited States
CityAustin
Period8/12/201412/12/2014

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