Proceedings of the International Conference on Computer Information Systems and Industrial Applications

Impulse Radio UWB Signal Detection Based on Compressed Sensing

Authors
T. Zou, Y.M Li, T. Li, W.H Xu, Y.Z Yan
Corresponding Author
T. Zou
Available Online June 2015.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Computer Information Systems and Industrial Applications
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-72-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/cisia-15.2015.29How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.29
DO  - https://doi.org/10.2991/cisia-15.2015.29
ID  - Zou2015/06
ER  -