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Software-Defined Radio for Spectrum Sensing Using Independent Component Analysis

Authors:
Paulo Ixtânio Leite Ferreira Ferreira
Glauco Fontgalland
Bruno Albert
Edmar Gurjao

Keywords: Spectrum sensing; ICA; blind sources; software-defined radio; cognitive radio

Abstract:
With the increment in data rates and new wireless services, the necessity for more radio frequency (RF) bandwidth for data transmission increases. Frequency spectrum is a scarce resource, and there is a necessity to optimize its use; in cognitive radio, spectrum sensing is the first task toward this optimization. It consists of detecting unused spectrum portions, allowing its use by a secondary user. In this paper, we apply the blind source separation method called Independent Component Analysis (ICA) for spectrum sensing, by detecting the presence and bandwidth of transmitted signals and by a complementary analysis to obtain non-used spectrum portions. A measurement setup with three uncorrelated sources and predefined bands is proposed. A software-defined radio implementing three independent transmitters and a broadband receiver antenna used to capture all signals. The results show the feasibility of using ICA for spectrum sensing.

Pages: 26 to 29

Copyright: Copyright (c) IARIA, 2014

Publication date: February 23, 2014

Published in: conference

ISSN: 2308-4251

ISBN: 978-1-61208-323-0

Location: Nice, France

Dates: from February 23, 2014 to February 27, 2014