In this contribution, the problem of the Synchronization for Ultra Wideband Impulse Radio (UWB-IR) systems, through the adoption of a multi-antenna platform working on multipath faded channels, is afforded. In this regard, we propose a novel UWB-IR synchronizer devoted to jointly estimate (according to the Maximum Likelihood (ML) critérium) the arrival times and their (Poisson distributed) number, composing a typical UWB-IR multipath faded channel. Such estimate is effected without any knowledge on the value of the channel paths (noncoherent ML synchronizer). The architecture of such Synchronizer is based on a Single-Input Multiple-Output (SIMO) platform, instead of a Multiple-Input Multiple-Output MIMO one, according to a previous result in the Literature. Related performance of this joint ML estimation is expressed in closed via the Cramer-Rao bound (CRB) and is tested by simulations, under acquisition and tracking conditions. © 2007 IEEE.
Multi-Antenna IR-UWB Noncoherent ML Synchronization for Multipath Wideband Channels / Baccarelli, Enzo; Biagi, Mauro; Pelizzoni, C; Cordeschi, N.. - (2007), pp. 1739-1743. (Intervento presentato al convegno 50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007 tenutosi a Washington; United States nel 5-7 dicembre 2007) [10.1109/GLOCOM.2007.335].
Multi-Antenna IR-UWB Noncoherent ML Synchronization for Multipath Wideband Channels
BACCARELLI, Enzo;BIAGI, MAURO;
2007
Abstract
In this contribution, the problem of the Synchronization for Ultra Wideband Impulse Radio (UWB-IR) systems, through the adoption of a multi-antenna platform working on multipath faded channels, is afforded. In this regard, we propose a novel UWB-IR synchronizer devoted to jointly estimate (according to the Maximum Likelihood (ML) critérium) the arrival times and their (Poisson distributed) number, composing a typical UWB-IR multipath faded channel. Such estimate is effected without any knowledge on the value of the channel paths (noncoherent ML synchronizer). The architecture of such Synchronizer is based on a Single-Input Multiple-Output (SIMO) platform, instead of a Multiple-Input Multiple-Output MIMO one, according to a previous result in the Literature. Related performance of this joint ML estimation is expressed in closed via the Cramer-Rao bound (CRB) and is tested by simulations, under acquisition and tracking conditions. © 2007 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
