Robust estimator for non-line-of-sight error mitigation in indoor localization
EURASIP Journal on Applied Signal Processing
The effect of cooperation on UWB-based positioning systems using experimental data
EURASIP Journal on Advances in Signal Processing
Low complexity location fingerprinting with generalized UWB energy detection receivers
IEEE Transactions on Signal Processing
Indoor geolocation in the absence of direct path
IEEE Wireless Communications
Nonline-of-sight error mitigation in mobile location
IEEE Transactions on Wireless Communications
Analysis of wireless geolocation in a non-line-of-sight environment
IEEE Transactions on Wireless Communications
Indoor geolocation science and technology
IEEE Communications Magazine
Ranging in a dense multipath environment using an UWB radio link
IEEE Journal on Selected Areas in Communications
A Cooperative Localization Algorithm for UWB Indoor Sensor Networks
Wireless Personal Communications: An International Journal
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In this paper a method for ultra-wideband (UWB) localization for indoor applications is proposed. Beacons at known locations exchange signals with a tag to the purpose of estimating its position from range measurements. These measurements are accurate only when the ray corresponding to the direct path (DP) from tag to beacon is strong enough. In an UWB indoor environment, however, the DP may be blocked by thick walls or metallic obstacles, giving rise to large range errors. Several methods are available to mitigate this problem, exploiting different degrees of prior information. Techniques exploiting range error models or based on traditional fingerprinting lead to better results than methods that do not require any prior knowledge. We propose a new method that combines the maximum likelihood principle with range error models and special fingerprints. Its performance, assessed by simulation and compared to other techniques, is shown to be superior to traditional fingerprinting in the presence of environmental changes.