Change search
ReferencesLink to record
Permanent link

Direct link
Spectrum Sensing in Dual Polarized Fading Channels for Cognitive SatComs
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (Signal Processing)ORCID iD: 0000-0003-2298-6774
2012 (English)Conference paper (Refereed)
Abstract [en]

Next generation networks are moving towards the convergence of mobile, fixed and broadcasting services in one standard platform, which requires the co-existence of satellite and terrestrial networks in the same spectrum. This framework has motivated the concept of cognitive Satellite Communication (SatComs). In this aspect, the problem of exploiting Spectrum Sensing (SS) techniques for a dual polarized fading channel is considered. In this paper, the performance of Energy Detection (ED) technique is evaluated in the context of a co-existence scenario of a satellite and a terrestrial link. Diversity combining techniques such as Equal Gain Combining (EGC) and Selection Combining (SC) are considered to enhance the SS efficiency. Furthermore, analytical expressions for probability of detection (Pd) and probability of false alarm (Pf ) are presented for these techniques in the considered fading channel and the sensing performance is studied through analytical and simulation results. Moreover, the effect of Cross Polar Discrimination (XPD) on the sensing performance is presented and it is shown that SS efficiency improves for low XPD.

Place, publisher, year, edition, pages
IEEE , 2012.
Keyword [en]
Sensing Efficiency, Energy Detection, Dual Polarized Channel, Cross Polar Discrimination
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-107454OAI: diva2:575963
IEEE Global Telecommunications Conference (Globecom)
ICT - The Next Generation

QC 20130118

Available from: 2012-12-11 Created: 2012-12-11 Last updated: 2013-04-11Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Ottersten, Björn
By organisation
Signal ProcessingACCESS Linnaeus Centre
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 39 hits
ReferencesLink to record
Permanent link

Direct link