Detection of UWB signal using dirty template approach
Résumé
This paper handles the problem of detecting ultra-wideband signals in the presence of dense multipath channel and ambient noise. To design a low-complexity high-performance signal detection process, the dirty template approach is proposed. We first explain the dirty template technique and its implementation in UWB communication systems. Then, the Neyman–Pearson theorem is applied to derive the UWB signal detector and select the suitable detection threshold values. Finally, the performance of the proposed dirty template detector is evaluated in terms of the detection and false alarm probabilities for different threshold values, signal-to-noise ratio and number of data-aided symbols.