Combined compressive sampling and distribution discontinuities detection approach to wideband spectrum sensing for cognitive radios

Guibène Wael (1) , Hessam Moussavinik (2) , Hayar Aawatif (1)

1 Eurecom [Sophia Antipolis]
2 IDI - Department of Computer and Information Science [Trondheim]

This paper presents a new sensing technique for cognitive radio systems which combines algebraic tools and compressive sampling techniques. The proposed approach consists of the detection of spectrum holes using spectrum distribution discontinuities detector fed by a compressed measurements. The compressed sensing algorithm is designed to take advantage from the primary signals sparsity and to keep the linearity and properties of the original signal in order to be able to apply algebraic detector on the compressed measurements. The complexity of the proposed detector is also discussed and compared with the energy detector as reference algorithm. The comparison shows that the proposed technique outperforms energy detector in addition to its low complexity.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Guibène Wael, Hessam Moussavinik, Hayar Aawatif. Combined compressive sampling and distribution discontinuities detection approach to wideband spectrum sensing for cognitive radios. IEEE Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Oct 2011, Budapest, Hungary. pp.1-7. ⟨hal-00689813⟩