Time of arrival estimation for UWB localizers in realistic environments
EURASIP Journal on Applied Signal Processing
Analysis of wireless geolocation in a non-line-of-sight environment
IEEE Transactions on Wireless Communications
Multipath Aided Rapid Acquisition: Optimal Search Strategies
IEEE Transactions on Information Theory
The ultra-wide bandwidth indoor channel: from statistical model to simulations
IEEE Journal on Selected Areas in Communications
Characterization of ultra-wide bandwidth wireless indoor channels: a communication-theoretic view
IEEE Journal on Selected Areas in Communications
LOS/NLOS detection for UWB signals: a comparative study using experimental data
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
A framework for low complexity least-squares localization with high accuracy
IEEE Transactions on Signal Processing
Indoor positioning using nonparametric belief propagation based on spanning trees
EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
Experimental analysis of IEEE 802.15.4a CSS ranging and its implications
Computer Communications
UWB passive navigation in indoor environments
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
A Maximum Likelihood UWB Localization Algorithm Exploiting Knowledge of the Service Area Layout
Wireless Personal Communications: An International Journal
A Cooperative Localization Algorithm for UWB Indoor Sensor Networks
Wireless Personal Communications: An International Journal
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Positioning systems based on ultrawide bandwidth (UWB) technology have been considered recently especially for indoor environments due to the property of UWB signals to resolve multipath and penetrate obstacles. However, line-of-sight (LoS) blockage and excess propagation delay affect ranging measurements thus drastically reducing the positioning accuracy. In this paper, we first characterize and derive models for the range estimation error and the excess delay based on measured data from real-ranging devices. These models are used in various multilateration algorithms to determine the position of the target. From measurements in a real indoor scenario, we investigate how the localization accuracy is affected by the number of beacons and by the availability of priori information about the environment and network geometry. We also examine the case where multiple targets cooperate by measuring ranges not only from the beacons but also from each other. An iterative multilateration algorithm that incorporates information gathered through cooperation is then proposed with the purpose of improving the position estimation accuracy. Using numerical results, we demonstrate the impact of cooperation on the positioning accuracy.