2016 IEEE Globecom Workshops (GC Wkshps) 2016
DOI: 10.1109/glocomw.2016.7848972
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Novel Maximum-Based Timing Acquisition for Spread-Spectrum Communications

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Cited by 6 publications
(8 citation statements)
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“…Here, we explore the associated probabilities when the threshold is chosen according to the Neyman-Pearson criterion. We also note that, in the presence of the signal, the maximum sample within each symbol period is the sufficient statistic for signal presence, [9].…”
Section: Probabilitiesmentioning
confidence: 97%
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“…Here, we explore the associated probabilities when the threshold is chosen according to the Neyman-Pearson criterion. We also note that, in the presence of the signal, the maximum sample within each symbol period is the sufficient statistic for signal presence, [9].…”
Section: Probabilitiesmentioning
confidence: 97%
“…The chance of choosing a timing that belongs to state S 0 remains low. It may be further noted that a property of FMT-SS that distinguishes it from other spread spectrum systems and, thus, is valuable here, is the fact that FMT-SS performance is invariant to any small drift of timing phase [9]. Because of this property, any acquired timing phase that belongs to states S 1 and S 2 should be considered as a successful acquisition.…”
Section: A Neyman-pearson Criterionmentioning
confidence: 99%
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“…1,2 With respect to timing synchronization, it is also noted that the receiver local spreading code timing alignment capability depends on the signaling waveforms features. [16][17][18] Signal design under various constraints was discussed in Landolsi 19 where full-and partial-response waveforms were proposed for the maximization of timing acquisition probability and in Giunta et al 20 where constrained optimization for noncoherent acquisition of DS-SS signals was based on generalized Q-functions. 2,3 As such, several previous works explored various aspects of signal design for the purpose of improving receiver synchronization.…”
Section: Introductionmentioning
confidence: 99%
“…14,15 Acquisition performance enhancement algorithms were also introduced for binary offset carrier signaling schemes used in GNSS. [16][17][18] Signal design under various constraints was discussed in Landolsi 19 where full-and partial-response waveforms were proposed for the maximization of timing acquisition probability and in Giunta et al 20 where constrained optimization for noncoherent acquisition of DS-SS signals was based on generalized Q-functions. Acquisition schemes were also devised for band-limited spread-spectrum signals in previous studies.…”
Section: Introductionmentioning
confidence: 99%