Blind detection of Impulse Radio UWB Time-Hopping pulses using the phase space transformation

In this paper, we focus on blind Time of Arrival (ToA) detection and prediction based on time series analysis of the measured samples of an impulse radio UWB time-hopping signal. The ToA detection is based on pattern cluster recognition in time-delay embedding space. This approach has been used for data mining in time series and propose a trade-off between accuracy and computing complexity. Also, the main goal of this study is to identify an estimation algorithm having as little information as possible regarding the received signal.