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Proceedings Paper

Low-complexity algorithms for spatio-temporal directional spectrum sensing with applications in cognitive radio
Author(s): Arjuna Madanayake; Chamith Wijenayake; Uma Potluri; Judith Abeysekara; Dale Mugler
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Paper Abstract

A suit of low complexity signal processing algorithms are identified for the directional spectrum sensing and two-dimensional (2-D) spatio-temporal white space detection in cognitive radio systems. The concept of spectral white spaces in 2-D spatio-temporal frequency space is reviewed based on the specific spectral properties of 2-D spatio-temporal array signals. The proposed system contains an array processing stage, magnitude-fast-Fourier-transform (FFT) stage followed by an energy detection stage. The use of 2-D infinite impulse response (IIR) filters having beam-shaped passbands in the 2-D frequency space is identi_ed as a low complexity solution for the array processing stage for the directional enhancement of radio signals. A low complexity algorithm that delivers the magnitude FFT is described for the 16-point case and computational complexity is expressed in closed-form.

Paper Details

Date Published: 28 May 2013
PDF: 7 pages
Proc. SPIE 8753, Wireless Sensing, Localization, and Processing VIII, 87530G (28 May 2013); doi: 10.1117/12.2016107
Show Author Affiliations
Arjuna Madanayake, The Univ. of Akron (United States)
Univ. of Calgary (Canada)
Chamith Wijenayake, The Univ. of Akron (United States)
Uma Potluri, The Univ. of Akron (United States)
Judith Abeysekara, The Univ. of Akron (United States)
Dale Mugler, The Univ. of Akron (United States)


Published in SPIE Proceedings Vol. 8753:
Wireless Sensing, Localization, and Processing VIII
Sohail A. Dianat; Michael David Zoltowski, Editor(s)

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