Statistical Characterization and Mitigation of NLOS Bias in UWB Localization Systems

In this paper the problem of the joint statistical characterization of the NLOS bias and of the most representative features of LOS/NLOS UWB waveforms is investigated. In addition, the performance of various Maximum-Likelihood (ML) estimators for joint localization and NLOS bias mitigation is assessed. The authors' numerical results evidence that: the accuracy of all the considered estimators is appreciably affected by the LOS/NLOS conditions of the propagation environment; a statistical knowledge of multiple signal features can be exploited to mitigate the NLOS bias, so reducing the overall localization error.

Provided by: University of Missouri-St. Louis Topic: Mobility Date Added: Dec 2011 Format: PDF

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