Adaptive denoising of IR-UWB signal based on empirical mode decomposition

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.