TY - GEN
T1 - Adaptive denoising of IR-UWB signal based on empirical mode decomposition
AU - Xu, Zhan
AU - An, Jian Ping
AU - Liu, Zhao Hui
AU - Kai, Yang
PY - 2009
Y1 - 2009
N2 - In this contribution we present a novel empirical mode decomposition based method to mitigate the noise on ultra wideband impulse radio (IR-UWB) signal. The scheme works by decomposing the noisy UWB pulse into a set of oscillatory modes known as intrinsic mode functions (IMFs) and adaptively removing the noise dominated sub-components depending on a instantaneous energy compression gain (IE- CG) metric, which is related to the energy concentration in the transform domain. Theoretical analysis and simulation results show that the proposed design scheme can decrease the influence of noise effectively.
AB - In this contribution we present a novel empirical mode decomposition based method to mitigate the noise on ultra wideband impulse radio (IR-UWB) signal. The scheme works by decomposing the noisy UWB pulse into a set of oscillatory modes known as intrinsic mode functions (IMFs) and adaptively removing the noise dominated sub-components depending on a instantaneous energy compression gain (IE- CG) metric, which is related to the energy concentration in the transform domain. Theoretical analysis and simulation results show that the proposed design scheme can decrease the influence of noise effectively.
KW - Adaptive denoising
KW - Empirical mode decomposition
KW - Instantaneous energy compression gain (IE-CG)
KW - Intrinsic mode function
KW - Ultra wideband impulse radio (IR-UWB)
UR - http://www.scopus.com/inward/record.url?scp=70350179617&partnerID=8YFLogxK
U2 - 10.1049/cp.2009.0183
DO - 10.1049/cp.2009.0183
M3 - Conference contribution
AN - SCOPUS:70350179617
SN - 9781849190107
T3 - IET Conference Publications
BT - IET International Radar Conference 2009
T2 - IET International Radar Conference 2009
Y2 - 20 April 2009 through 22 April 2009
ER -