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Part of book or chapter of book
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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2013 . Peer-reviewed
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https://dx.doi.org/10.1007/978...
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Polynomial Time Approximation Algorithms for Localization Based on Unknown Signals

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2013Publisher:Springer Berlin Heidelberg
Authors: Johannes Wendeberg; Christian Schindelhauer;

doi: 10.1007/978-3-642-36092-3_15

Polynomial Time Approximation Algorithms for Localization Based on Unknown Signals

Abstract

We consider the problem of anchor-free self-calibration of receiver locations using only the reception time of signals produced at unknown locations and time points. In our settings the receivers are synchronized, so the time differences of arrival (TDOA) of the signals arriving at the receivers can be calculated. Given the set of distinguishable time points for all receivers the task is to determine the positions of the receivers as well as the signal sources.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average