Impulse Radio UWB blind detection using Cross Recurrence Plot

Blind detection is of paramount importance when considering wireless radio communication systems, positioning solutions or radar application. In Electronic Warfare, the pulse trains signals affected by noise, jitter and outliers are of great value either for reconnaissance or surveillance purposes. In the current paper we focus on improving the blind signal processing methods used to identify, detect and analyse the time series of samples of an impulse radio UWB (Ultra-Wideband) time-hopping pulse position modulation signal. The attention is directed upon the time series data mining analysis and propose a trade-off between accuracy and computing complexity. Also, the endeavour to identify an estimation algorithm having as little information as possible regarding the received signal continues the study focus of blind detection based on phase space transformation.