2015 IEEE International Conference on Communication Workshop (ICCW) 2015
DOI: 10.1109/iccw.2015.7247268
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Bayesian ranging for radio localization with and without line-of-sight detection

Abstract: We consider Bayesian ranging methods for localization in wireless communication systems. Based on a channel model and given priors for the range and the line-of-sight (LOS) condition, we propose range estimators with and without LOS detection. Since the pdf of the received frequency-domain signals is unknown, we approximate the maximum-a-posteriori (MAP) and the minimum mean-squared error (MMSE) estimators. The promising ranging accuracy obtained with the proposed estimators is demonstrated by Monte Carlo simu… Show more

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Cited by 2 publications
(3 citation statements)
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“…This subspace method uses an estimation of the signal autocorrelation which requires a large number of independent signal observations with the same time-ofarrival. Papers [6], [7] rather rely on the central limit theorem for random vectors to formulate an approximate Maximum Likelihood delay estimator in dense multipath. Given some prior knowledge on the shape of the channel power delay profile, this approach is shown to outperform super-resolution and GML methods in practical environments [6].…”
Section: Introduction Cellular Communication Network Are Continuomentioning
confidence: 99%
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“…This subspace method uses an estimation of the signal autocorrelation which requires a large number of independent signal observations with the same time-ofarrival. Papers [6], [7] rather rely on the central limit theorem for random vectors to formulate an approximate Maximum Likelihood delay estimator in dense multipath. Given some prior knowledge on the shape of the channel power delay profile, this approach is shown to outperform super-resolution and GML methods in practical environments [6].…”
Section: Introduction Cellular Communication Network Are Continuomentioning
confidence: 99%
“…In this paper, we will use the DPE method developed in [9]. This method relies on the same approximate Maximum Likelihood formulation as papers [6] and [7] and requires some prior knowledge on the shape of the channel power delay profile (PDP).…”
Section: Introduction Cellular Communication Network Are Continuomentioning
confidence: 99%
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