2004
DOI: 10.1109/mcom.2004.1367554
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Personal area technologies for internetworked services

Abstract: General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms IEEE Radio Communications • December 2004 S15

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Cited by 8 publications
(5 citation statements)
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“…We also evidenced a relationship between fluctuation amplitudes, sequence lengths and the number of users transmitting at the same data rate. It allowed one to determine the number of user groups transmitting at the same data rate and thus to distinguish one standard from others as previously suggested in [10]. As proposed in [2], [3], the number of users within a group can be found through the synchronization process.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…We also evidenced a relationship between fluctuation amplitudes, sequence lengths and the number of users transmitting at the same data rate. It allowed one to determine the number of user groups transmitting at the same data rate and thus to distinguish one standard from others as previously suggested in [10]. As proposed in [2], [3], the number of users within a group can be found through the synchronization process.…”
Section: Discussionmentioning
confidence: 99%
“…This method should also allow a blind multi-standard detection through a differentiation of various standards based on an analysis of their set of available data rates [10].…”
Section: Introductionmentioning
confidence: 99%
“…This assumption is considered to be valid even in the presence of people in the channel. Furthermore, results reported in [9] show that the coherence time of the channel is greater than 1 ms.…”
Section: Indoor Measurement Setup and Environmentmentioning
confidence: 94%
“…Besides, it allows a multi-standard detection through a differentiation of various standards data rate as suggested in (Williams et al, 2004). Successive investigations of the contributions of noise and channel-corrupted signal through the analysis of the second-order moment of the correlation estimator computed from many randomly-selected analysis windows constitutes the key point of the proposed temporal parameters estimation approach.…”
Section: Multiuser Multirate Signal Modelmentioning
confidence: 99%