HOS Based Goodness-of-Fit Testing Signal Detection

Author

Denkovski, Daniel ; Atanasovski, Vladimir ; Gavrilovska, Liljana

Author_Institution

Fac. of Electr. Eng. & Inf. Technol. (FEEIT), Ss. Cyril and Methodius Univ., Skopje, Macedonia

Volume

16

Issue

3

fYear

2012

fDate

3/1/2012 12:00:00 AM

Firstpage

310

Lastpage

313

Abstract

Detection performance of cognitive radios can be significantly improved by utilizing Higher Order Statistics (HOS) in the spectrum sensing process. The additional usage of goodness-of-fit tests on the inspected frequency spectrum can further improve the signal detection. This letter proposes a novel detection method that uses goodness-of-fit tests on the skewness and kurtosis of the FFT power spectrum (empirically derived) to evaluate the signal existence. Testbed evaluations prove that the method adapts to the specific hardware noise characteristics. The result is powerful detection performance, i.e. the capability of detecting various signals even 32dB below the noise floor.

Keywords

cognitive radio; fast Fourier transforms; higher order statistics; signal detection; FFT power spectrum; HOS based goodness-of-fit testing signal detection; cognitive radios; higher order statistics; inspected frequency spectrum; spectrum sensing process; Data communication; Measurement; Multiplexing; Sensors; Signal detection; Signal to noise ratio; HOS GoF; Higher Order Statistics (HOS); Signal detection; goodness-of-fit (GoF) tests; noise adaptation;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2012.010512.111830

Filename

6126083