Title: Anti-sampling-distortion compressive wideband spectrum sensing for Cognitive Radio

Authors: Yipeng Liu; Qun Wan

Addresses: Department of Electronic Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China. ' Department of Electronic Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China

Abstract: In this paper, Compressed Sensing (CS) is introduced to wideband spectrum sensing for cognitive radio to deal with the too high sampling rate challenge. The standard sparse signal recovery of CS does not consider the distortion in the Analogue-to-Information Converter (AIC). Thus we define a new sparse signal model with bounded sampling error, and an Anti-Sampling-Distortion Constraint (ASDC) is deduced. We combine the L1-norm based sparse constraint with the ASDC to get a novel robust sparse signal recovery operator. Numerical simulations demonstrate that the proposed method outperforms standard sparse wideband spectrum sensing in accuracy, denoising ability, etc.

Keywords: cognitive radio; wideband spectrum sensing; compressive sensing; sparse signal recovery; mobile communications; analogue to information converters; sampling distortion; denoising.

DOI: 10.1504/IJMC.2011.042779

International Journal of Mobile Communications, 2011 Vol.9 No.6, pp.604 - 618

Published online: 04 Oct 2011 *

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