Work

On the use of compressive sampling for wide-band spectrum sensing

Year: 2010

Type: conference-paper

Abstract: In a scenario where a cognitive radio unit wishes to transmit, it needs to know over which frequency bands it can operate. It can obtain this knowledge by estimating the power spectral density from a Nyquist-rate sampled signal. For wide-band signals sampling at the Nyquist rate is a major challenge and may be unfeasible. In this paper we accurately detect spectrum holes in sub-Nyquist frequencies without assuming wide sense stationarity in the compressed sampled signal. A novel extension to further reduce the sub-Nyquist samples is then presented by introducing a memory based compressed sensing that relies on the spectrum to be slowly varying.

Source: IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

DOI: 10.1109/isspit.2010.5711810

Authors: Dennis Sundman, Saikat Chatterjee, Mikael Skoglund

Institution: KTH Royal Institute of Technology

Language: English

Topic: Cognitive Radio Networks and Spectrum Sensing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2109330552

FWCI: 3.673

Cites: 21

Cited by: 27

Related to: 10