Improved Method of Node and Threshold Selection in Wavelet Packet Transform for Uwb Impulse Radio Signal Denoising

Abstract

Ultra wide band (UWB) impulse radio (IR) technology has different applications in different sectors such as short range radios and collision avoidance radar. A strong signal denoising method is needed for UWB-IR signal detection. One of the challenges of UWB-IR signal detection technique is the environmental interferences and noises. Wavelet Packet Transform (WPT) based multi-resolution analysis technique is suitable for this kind of signal denoising and detection. The paper describes a better method of denoising and detection technique of UWB-IR signal based on calculation of energies of the coefficients of each WPT terminal-node and by using an improved threshold calculation technique. The proposed technique is investigated through both simulation and experimentation.

An Improved Methodological Approach for Denoising of Partial Discharge Data by the Wavelet Transform

“…They also published papers presenting the use of Wavelet Packet Transform (WPT) [7], generalization of the DWT, for noise suppression and subsequent PD extraction [8][9][10]: their analysis, however, was limited only to numerical signals. WPT has also been used recently for UWB impulse radio signal denoising [11], although the authors do not comment on possible limitations and drawback of the adopted technique. Satish and Nazneen [12] used the DWT for extracting PD pulses buried in very high levels of noise and interferences and showed that the results obtained with the proposed wavelet-based denoising technique were superior with respect to those obtained with different digital filtering approaches, such as the FIR (Finite Impulse Response) method and the IIR (Infinite Impulse Response)-notch filter method.…”