Anti-sampling-distortion compressive wideband spectrum sensing for Cognitive Radio. (5th October 2011)

• Record Type: Journal Article
• Authors: Liu, Yipeng; Wan, Qun
• Is Part Of: International journal of mobile communications. Volume 9:Number 6(2011)
• Page Start: 604
• Page End: 618
• Publication Date: 2011-10-05
• Subjects: cognitive radio -- wideband spectrum sensing -- compressive sensing -- sparse signal recovery -- mobile communications -- analogue to information converters -- sampling distortion -- denoising; Mobile communication systems -- Periodicals; Wireless communication systems -- Periodicals; 384.53
• Languages: English
• ISSNs: 1470-949X

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.