Cooperative-cum-Constrained Maximum Likelihood Algorithm for UWB-based Localization in Wireless BANs

Abstract : Wireless Body Area Network (BAN) is a mainstream technology for numerous application fields (medicine, security, sport science.. .) and precise determination of wireless sensors' positions responses to the great needs in many applications. In addition, Ultra Wide Band (UWB) radio is an attractive technology to achieve the centimeter-level distance measurements. However, the aggregation of the distance information remains a challenge and this paper presents a cutting-edge method for performing the accurate localization in wireless BAN. To this aim, by fully exploiting its unique features, a novel Cooperative-cum-Constrained Maximum Likelihood (CCML) localization algorithm is developed. Simulation results and UWB-based platform validation show absolute agreement with theoretical prediction and improvement over previous studies by Hamie et al and Mekonnen et al.
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Communication dans un congrès
IEEE International Conference on Communications (ICC15), Jun 2015, London, United Kingdom
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  • HAL Id : hal-01175913, version 1

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Gia-Minh Hoang, Matthieu Gautier, Antoine Courtay. Cooperative-cum-Constrained Maximum Likelihood Algorithm for UWB-based Localization in Wireless BANs. IEEE International Conference on Communications (ICC15), Jun 2015, London, United Kingdom. 〈hal-01175913〉

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