2011
DOI: 10.5121/ijwmn.2011.3105
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Fine Synchronization Through UWB TH-PPM Impulse Radios

Abstract: In this paper, a novel fine timing algorithm has been tested and developed to synchronize UltraWideband (UWB)

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Cited by 3 publications
(2 citation statements)
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“…Thus, the received waveform from all users is (3) where N u is the users number, is the propagation delay of the uth user's direct path and is the zero-mean additive Gaussian noise (AGN). The global received symbol-long waveform is therefore given by (4) Assuming that the nonzero support of waveform is upper bounded by the symbol time T s , the received waveform in (3) can be rewritten as (5) In the next section, we will develop a low-complexity timing acquisition approach using TDT synchronizer in order to find the desired timing offset for multi-user environments. The structure of our synchronization scheme is illustrated in Fig.1.…”
Section: System Model For Multi-user Linksmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, the received waveform from all users is (3) where N u is the users number, is the propagation delay of the uth user's direct path and is the zero-mean additive Gaussian noise (AGN). The global received symbol-long waveform is therefore given by (4) Assuming that the nonzero support of waveform is upper bounded by the symbol time T s , the received waveform in (3) can be rewritten as (5) In the next section, we will develop a low-complexity timing acquisition approach using TDT synchronizer in order to find the desired timing offset for multi-user environments. The structure of our synchronization scheme is illustrated in Fig.1.…”
Section: System Model For Multi-user Linksmentioning
confidence: 99%
“…Used in [1,2] for single-user environments, our timing acquisition approach is based on two successive stages or floors. Extended for multi-user environments, the used algorithm is a combination between coarse synchronization based on timing with dirty templates (TDT) acquisition scheme and a new fine synchronization scheme developed in [3][4][5][6] which conduct to an improved estimate of timing offset. In this work, we develop and test this method in both data-aided (DA) and non-data-aided (NDA) modes.…”
mentioning
confidence: 99%