Experimental detection of mobile satellite transmissions with cyclostationarity features

Cognitive Radios is emerging in research laboratories as a promising wireless paradigm, which will integrate benefits of software defined radio with the capability of awareness of the spectrum environment. To reach this goal many issues remain still open and many functions must still be implemented in a efficienct way. One of the main functions is spectrum sensing, which is the capability to sense the spectral environment over a wide frequency band and identify the presence of other wireless communications services in the spectrum. Spectrum sensing can be used for a variety of applications both in the commercial domain and public safety domain. The paper investigates three different digital signal processing techniques for spectrum sensing: power sensing, cyclostationary sensing and Strip Spectral Correlation Algorithm (SSCA) and apply these technicques to a mobile satellite communication signal. Experimental results on real signals are presented and compared.

DIMC Franc;  BALDINI Gianmarco;  SITHAMPARANATHAN Kandeepan; 

2015-02-04

WILEY-BLACKWELL

JRC60384

1542-0973,   

http://onlinelibrary.wiley.com/doi/10.1002/sat.1081/abstract,    https://publications.jrc.ec.europa.eu/repository/handle/JRC60384,   

10.1002/sat.1081,