GHOST: Efficient Goodness-of-fit HOS testing signal detector for cognitive radio networks

Author

Denkovski, Daniel ; Atanasovski, Vladimir ; Gavrilovska, Liljana

Author_Institution

Fac. of Electr. Eng. & Inf. Technol., Ss. Cyril & Methodius Univ. in Skopje, Skopje, Macedonia

fYear

2012

fDate

10-15 June 2012

Firstpage

1864

Lastpage

1868

Abstract

Flexible, reliable and robust signal detectors are vital components of the emerging cognitive radio networks. This paper presents a novel Goodness-of-fit Higher-Order-Statistics Testing (GHOST) signal detector, which eliminates the drawbacks of the previous related detectors and offers dominant signal detection performances. The detection is made based on goodness-of-fit testing comparing the skewness and kurtosis of the received power spectrum with empirically estimated system noise statistics. This allows reliable detection of different types of signals with SNR even lower than -32dB. The detector can be easily applied to the existing radio hardware since it adapts to the specific noise characteristics.

Keywords

cognitive radio; higher order statistics; signal detection; telecommunication network reliability; GHOST; SNR; cognitive radio network; goodness-of-fit higher-order-statistics testing; kurtosis; noise statistics estimation; received power spectrum; signal detector; skewness; Cognitive radio; GHOST signal detection; Goodness-of-Fit (GoF) tests; Higher-Order-Statistics (HOS); noise adaptation;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (ICC), 2012 IEEE International Conference on

Conference_Location

Ottawa, ON

ISSN

1550-3607

Print_ISBN

978-1-4577-2052-9

Electronic_ISBN

1550-3607

Type

conf

DOI

10.1109/ICC.2012.6364001

Filename

6364001