Chaos-based TOA estimator for DS-UWB ranging systems in multiuser environment

Hang Ma 1 Pascal Acco 2 Marie-Laure Boucheret 3 Danièle Fournier-Prunaret 1
1 LAAS-MAC - Équipe Méthodes et Algorithmes en Commande
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
2 LAAS-N2IS - Équipe Nano Ingénierie et Intégration des Systèmes
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
Abstract : In this paper, we present a chaos-based decoupled multiuser ranging (DEMR) estimator for multiuser DS-UWB ranging system. In the DEMR estimator, users are decoupled by the knowledge of all the users' limited number of data bits. Then, the ranging performance of each user mainly depends on the non-cyclic autocorrelation property of the spreading code. Based on this property, we improve DEMR estimator by using the selected binary chaotic sequences instead of the Gold sequences in order to increase the system capacity and to improve the ranging accuracy. Simulations in CM1 channel show that the chaos-based DEMR estimator is quite near-far resistant and achieves a noticeable ranging accuracy even in a heavily loaded system. Compared with using Gold sequences, chaos-based DEMR not only works with more users than full load of Gold sequences but also improves the ranging accuracy especially under low SNR condition.
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  • HAL Id : hal-01212867, version 1
  • OATAO : 12806

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Hang Ma, Pascal Acco, Marie-Laure Boucheret, Danièle Fournier-Prunaret. Chaos-based TOA estimator for DS-UWB ranging systems in multiuser environment. 21st European Signal and Image Processing Conference (EUSIPCO 2013), Sep 2013, Marrakech, Morocco. pp. 1-5. ⟨hal-01212867⟩

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