A new denoising method for DS-UWB signal based on wavelet transform modulus maximum

Abstract

Narrowband pulse can be seen as singularity when it is adopted to transmit Direct Sequence Ultra-Wide Band (DS-UWB) signals. The remarkable property of wavelet transform is that it has ability to characterize the singularities of signals. In the UWB system there are different propagation characteristics for the modulus maxima of signal and noise with the increasing decomposition scales, theoretical and experimental results show that wavelet-transform modulus-maximum method can reserve signal singularity and remove the noise effectively. Therefore, wavelet-transform modulus-maxima method is used to extract useful information from DS-UWB signal in low SNR. A new algorithm is proposed in this paper by combining wavelet-transform modulus maximal denoising method with adaptive threshold algorithm. The simulation results show that the new method is efficient in restraining noise and reconstructing the signal.