Low complexity TOA estimator for multiuser DS-UWB system

Hang Ma (1, 2) , Pascal Acco (3, 2) , Marie-Laure Boucheret (4, 5) , Danièle Fournier-Prunaret (2, 1)

1 LAAS-MAC - Équipe Méthodes et Algorithmes en Commande
2 INSA Toulouse - Institut National des Sciences Appliquées - Toulouse
3 LAAS-N2IS - Équipe Nano Ingénierie et Intégration des Systèmes
4 IRIT-SC - Signal et Communications
5 Toulouse INP - Institut National Polytechnique (Toulouse)

In this paper, we present a low complexity Time Of Arrival (TOA) estimator for direct-sequence ultra-wideband (DS-UWB) ranging system. With the assumption that TOA is the integer multiples of chip duration, our decoupled multiuser ranging (DEMR) estimator employs integrate-and-dump filter (IDF) in chip sampling rate instead of matched filter (MF) as the front-end to reduce sampling rate and to simplify the structure of estimator. This subsampling estimator is simplified substantially in dense multipath environment furthermore due to the long repetition time of DS-UWB pulse. Simulation results show that compared with other low complexity TOA estimator, DEMR estimator is not only quite near-far resistant, but also can obtain noticeable ranging performance in the fully loaded system.

Mots clés: Multipath channel; Multiuser interference; Ultra-wideband (UWB); Time of arrival (TOA) estimation

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Intelligence artificielle [cs.AI]

Hang Ma, Pascal Acco, Marie-Laure Boucheret, Danièle Fournier-Prunaret. Low complexity TOA estimator for multiuser DS-UWB system. 10th Workshop on Positioning Navigation and Communication (WPNC 2013), Mar 2013, Dresden, Germany. pp. 1-6. ⟨hal-01231779⟩