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.
Abul Kalam Mohammed Baki,
Nemai C. Karmakar,
"Improved Method of Node and Threshold Selection in Wavelet Packet Transform for UWB Impulse Radio Signal Denoising," Progress In Electromagnetics Research C,
Vol. 38, 241-257, 2013. doi:10.2528/PIERC13011709
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