TY - GEN
T1 - EMD-based denoising of UWB-IR signal
AU - Zhou, Ronghua
AU - Li, Rongrong
AU - Xu, Zhan
PY - 2009
Y1 - 2009
N2 - The empirical mode decomposition (EMD) applied to analysis of nonstationary and nonlinear signals has attracted great research interests. In this paper, a novel adaptive approach based on EMD framework is introduced to remove noise from ultra wide band impulse radio (UWB-IR) signals. Specifically, the noisy UWB-IR signal is decomposed into a finite number of oscillatory modes known as intrinsic mode functions (IMFs) and a residue. Due to different correlation characteristics of signal and noise in IMF domain, significant features of signal are improved when noise is suppressed by multiplying adjacent IMF components directly. By comparing values of original IMF with results of correlation, signal points are extracted resulting in removing noise. The proposed denoising approach is complemented by numerical examples to illustrate the efficient elimination of noise on UWB-IR signal and to demonstrate the signal-to-noise ratio (SNR) improvement induced by this approach as a performance criterion.
AB - The empirical mode decomposition (EMD) applied to analysis of nonstationary and nonlinear signals has attracted great research interests. In this paper, a novel adaptive approach based on EMD framework is introduced to remove noise from ultra wide band impulse radio (UWB-IR) signals. Specifically, the noisy UWB-IR signal is decomposed into a finite number of oscillatory modes known as intrinsic mode functions (IMFs) and a residue. Due to different correlation characteristics of signal and noise in IMF domain, significant features of signal are improved when noise is suppressed by multiplying adjacent IMF components directly. By comparing values of original IMF with results of correlation, signal points are extracted resulting in removing noise. The proposed denoising approach is complemented by numerical examples to illustrate the efficient elimination of noise on UWB-IR signal and to demonstrate the signal-to-noise ratio (SNR) improvement induced by this approach as a performance criterion.
KW - Empirical mode decomposition
KW - Signal denoising
KW - Ultra wide band
UR - http://www.scopus.com/inward/record.url?scp=73149096466&partnerID=8YFLogxK
U2 - 10.1109/WICOM.2009.5305611
DO - 10.1109/WICOM.2009.5305611
M3 - Conference contribution
AN - SCOPUS:73149096466
SN - 9781424436934
T3 - Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009
BT - Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009
T2 - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009
Y2 - 24 September 2009 through 26 September 2009
ER -