2012 International Conference on Localization and GNSS 2012
DOI: 10.1109/icl-gnss.2012.6253127
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Achievable localization accuracy of the positioning reference signal of 3GPP LTE

Abstract: Robustness of nominal Global Navigation Satellite Systems (GNSS) performance can be enhanced by means of complimentary systems, such as the Long Term Evolution (LTE). Particularly, the LTE standard specifies a dedicated downlink signal for positioning purposes, i.e. the positioning reference signal (PRS). This paper presents the achievable localization accuracy of the PRS signal for different interference LTE scenarios by means of the Crámer-Rao bound (CRB) for time delay estimation, in order to assess the LTE… Show more

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Cited by 80 publications
(40 citation statements)
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“…In contrast to our example above, we have plotted the graph versus the MT density D, as defined in Eq. (22). For all the considered cell sizes, the outage probability falls below 5 % for a MT density D > 1100 MTs /km 2 (MTs per square kilometer) ‡ .…”
Section: B Cooperative Positioningmentioning
confidence: 86%
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“…In contrast to our example above, we have plotted the graph versus the MT density D, as defined in Eq. (22). For all the considered cell sizes, the outage probability falls below 5 % for a MT density D > 1100 MTs /km 2 (MTs per square kilometer) ‡ .…”
Section: B Cooperative Positioningmentioning
confidence: 86%
“…Eq. (17) can be interpreted as the Fisher information for pseudo range estimation [22]. Here, S ,m ( f ) is the Fourier transform of signal s ,m (t) with bandwidth B = 1 T S .…”
Section: B Pseudo Rangingmentioning
confidence: 99%
“…On the other hand, the major challenge for using SOOP lies in the fact that beacons are non-cooperative and robots typically have no knowledge of important information like beacon transmit power, transmit time, and signal waveforms. TDOA and FDOA provides a practical solution [40], since they can remove the ambiguity resulting from unknown transmit times or unknown signal waveforms. However, to the best of our knowledge, very few works has been done for robot localization using TDOA and FDOA.…”
Section: State-of-art Techniques For Robot Localizationmentioning
confidence: 99%
“…This ensures that the RT engine calculates an accurate channel SNR based on a real location of the UE within the cell propagation environment. Whether the localization strategy is UE-based, UE-assisted or network-based [29], we consider the fact that eNB is capable of acquiring the geographical information of the UE along its trip route for a certain time interval in a periodic manner. This information is then utilized by the RT engine to predict the UE's CSI along its registered route (or route section).…”
Section: B Proposed Ray Tracing-assisted Scheduling Systemmentioning
confidence: 99%