Impulse Radio UWB Signal Detection Based on Compressed Sensing

DOI

10.2991/cisia-15.2015.29How to use a DOI?

Keywords

IR-UWM; compressed sensing; CoSaMP; MP; signal detection

Abstract

The extremely high sampling rate is a challenge for ultra-wideband (UWB) communication. In this paper, we study the compressed sensing (CS) based impulse radio UWB (IR-UWB) signal detection and propose an IR-UWB signal detection method based on compressive sampling matching pursuit (CoSaMP) algorithm. The proposed approach relies on the fact that UWB received signal is sparse in the time domain. The new method can significantly reduce the sampling rate required by the detection and, moreover, when comparing with the existing matching pursuit (MP) based detection method, it provides a better performance in case of the low signal-to-noise ratio. Simulation results demonstrate the effectiveness of the CoSaMP algorithm used in IR-UWB signal detection.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - T. Zou
AU  - Y.M Li
AU  - T. Li
AU  - W.H Xu
AU  - Y.Z Yan
PY  - 2015/06
DA  - 2015/06
TI  - Impulse Radio UWB Signal Detection Based on Compressed Sensing
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 110
EP  - 113
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.29
DO  - 10.2991/cisia-15.2015.29
ID  - Zou2015/06
ER  -