Joint distributed synchronization and positioning in UWB ad hoc networks using TOA

Denis, B.; Pierrot, Jean-Benoit; Abou-Rjeily, Chadi

doi:10.1109/tmtt.2006.872082

Cited by 144 publications

(102 citation statements)

References 27 publications

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“…1 and the anchors, and the exchanged time-stamps can be modeled as [20] (1) (2) where is the propagation delay between Node and anchor , with being the speed of light. Symbols and are the TOA detection errors, which are Gaussian distributed [14]. With the impulse-radio ultra-wideband technology and physical layer time-stamping, the TOA detection errors are in the order of nanosecond (ns) [21].…”

Section: Nodementioning

confidence: 99%

“…The two dimensional optimization problem in (14) can be solved by alternating projection as has been reported in [23].…”

Section: A Maximum Likelihood Estimatormentioning

confidence: 99%

“…However, they only pointed out the links between the two problems and explored the possibility of jointly implementing time synchronization and localization in protocol level. Denis et al took a step further in [14] by solving the two problems together in the physical layer. Unfortunately, strictly speaking, [14] cannot be categorized as joint approach since time synchronization is performed first and localization is carried out based on the synchronization results.…”

Section: Introductionmentioning

confidence: 99%

“…Denis et al took a step further in [14] by solving the two problems together in the physical layer. Unfortunately, strictly speaking, [14] cannot be categorized as joint approach since time synchronization is performed first and localization is carried out based on the synchronization results. In this paper, we propose a unified framework to jointly synchronize the unknown nodes and locate them to the anchors simultaneously.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Joint Time Synchronization and Localization of an Unknown Node in Wireless Sensor Networks

Zheng¹,

Wu²

2010

IEEE Trans. Signal Process.

167

152

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Abstract-Time synchronization and localization are two important issues in wireless sensor networks. Although these two problems share many aspects in common, they are traditionally treated separately. In this paper, we present a unified framework to jointly solve time synchronization and localization problems at the same time. Furthermore, since the accuracy of synchronization and localization is very sensitive to the accuracy of anchor timings and locations, the joint time synchronization and localization problem with inaccurate anchors is also considered in this paper. For the case with accurate anchors, the joint maximum likelihood estimator and a more computationally efficient least squares (LS) estimator are proposed. When the anchor timings and locations are inaccurate, a generalized total least squares (GTLS) scheme is proposed. Cramér-Rao lower bounds (CRLBs) and the analytical mean square error (MSE) expressions of the LS based estimators are derived for both accurate and inaccurate anchor cases. Results show that the proposed joint estimators exhibit performances close to their respective CRLBs and outperform the separate time synchronization and localization approach. Furthermore, the derived analytical MSE expressions predict the performances of the proposed joint estimators very well.

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Section: Nodementioning

confidence: 99%

“…The two dimensional optimization problem in (14) can be solved by alternating projection as has been reported in [23].…”

Section: A Maximum Likelihood Estimatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint Time Synchronization and Localization of an Unknown Node in Wireless Sensor Networks

Zheng¹,

Wu²

2010

IEEE Trans. Signal Process.

167

152

View full text Add to dashboard Cite

show abstract

“…Practical implementations and the combination of recently proposed methods from both fields are analyzed. In Chapter 6, an overview of simultaneous approaches is presented, with a distinction in centralized and distributed computation [1,19,26,35,36,37,75,89,124,129,137,138,139,141,143,144]. In this review we provide a comprehensive orientation in this novel topic.…”

Section: Introductionmentioning

confidence: 99%