Implementation of the GPS to galileo time offset (GGTO)

Hahn, Jörg; Powers, Edward

doi:10.1109/freq.2005.1573899

Cited by 23 publications

(15 citation statements)

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“…Network Time Protocol (NTP) [1], Precision Time Protocol (PTP) [2], the Global Positioning System (GPS) [3], [4], and several lightweight protocols for sensor networks, e.g. [5]- [13].…”

Section: Monotonic Mean-squared Convergence Conditions For Random Paimentioning

confidence: 99%

Monotonic Mean-Squared Convergence Conditions for Random Pairwise Consensus Synchronization in Wireless Networks

Brown

Klein

Wang

2015

IEEE Trans. Signal Process.

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Time synchronization is important for a variety of applications in wireless networks including scheduling communication resources, interference avoidance, and data fusion. This paper analyzes the problem of synchronizing nodes in a time-division-duplexed wireless network via consensus methods using only acknowledged message exchanges over existing network traffic. The nodes are assumed to communicate synchronization information randomly and asymmetrically, reflecting the random nature of the timing and the source of synchronization information gleaned from or embedded in existing network traffic. The synchronization method accounts for non-negligible propagation delays which can be disruptive to consensus techniques. To characterize both transient and asymptotic consensus behavior, general results are presented providing necessary and sufficient conditions for monotonic mean squared convergence of a distance from consensus metric at an exponential rate. While the general results apply to a broad class of random consensus models, two models are analyzed in detail: i) random asymmetric gossip and ii) fully connected random broadcast. Bounds are derived for the steady-state distance from consensus in the presence of estimation error. Numerical results are also presented verifying the analysis under different network topologies.Index Terms-Consensus clock, distributed synchronization, random asymmetric gossip, random broadcast, wireless networks.

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“…Network Time Protocol (NTP) [1], Precision Time Protocol (PTP) [2], the Global Positioning System (GPS) [3], [4], and several lightweight protocols for sensor networks, e.g. [5]- [13].…”

Section: Monotonic Mean-squared Convergence Conditions For Random Paimentioning

confidence: 99%

Monotonic Mean-Squared Convergence Conditions for Random Pairwise Consensus Synchronization in Wireless Networks

Brown

Klein

Wang

2015

IEEE Trans. Signal Process.

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“…In December of 2006, a Galileo monitor station was installed, and detailed plans have been made to monitor the GPS/Galileo timing offset (GGTO) [13] in parallel and in concert with the Galileo Precise Timing Facilities (GPTF). The GGTO will be measured by direct comparison of the received satellite timing, and by the use of TWSTT to measure the 1-pps offset between the time signals at the USNO and GPTF.…”

Section: Time Generationmentioning

confidence: 99%

Time and Frequency Activities at the U.S. Naval Observatory

Matsakis

2007

2007 IEEE International Frequency Control Symposium Joint With the 21st European Frequency and Time Forum

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Recommended by Patrizia TavellaThe US Naval Observatory (USNO) has provided timing for the navy since 1830 and, in cooperation with other institutions, has also provided timing for the United States and the international community. Its Master Clock (MC) is the source of UTC(USNO), the USNO's realization of Coordinated Universal Time (UTC), which has stayed within 5 nanoseconds RMS of UTC since 1999. The data used to generate UTC(USNO) are based upon 73 cesium and 21 hydrogen maser frequency standards in three buildings at two sites. The USNO disseminates time via voice, telephone modem, LORAN, Network Time Protocol (NTP), GPS, and twoway satellite time transfer (TWSTT). This paper describes some of the changes being made to meet the future needs for precision, accuracy, and robustness.

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“…A variety of synchronization protocols and systems have been developed for wired and wireless communication networks over the last 30 years, e.g., [1][2][3][4][5][6][7][8][9][10][11]. A common theme running through most of these protocols and systems is that they are based on a dedicated protocol with application-layer or MAC-layer exchanges of digital timestamps between nodes in the network.…”

Section: Introductionmentioning

confidence: 99%

Timestamp-free network synchronization with random pairwise message exchanges

Brown

Klein

2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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This paper describes a network synchronization technique based on bidirectional message exchanges between randomly chosen node pairs without the use of timestamps. Each node in the network has a clock with independent stochastic delay and drift. Relative delay and drift synchronization information is conveyed implicitly in the physical layer through the timing of responses to directed messages. Simultaneous delay and drift correction is performed by the node initiating the message exchange. Steady-state synchronization performance bounds are developed as a function of the synchronization stepsize parameter and the statistics of the delay and drift estimation errors. Numerical results for two different connectivity scenarios show that synchronization among the nodes can be achieved without the overhead of digital timestamps, a dedicated synchronization protocol, or network hierarchy.

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Implementation of the GPS to galileo time offset (GGTO)

Abstract: -Precise timing is an inherent part of Global Navigation

Cited by 23 publications

References 0 publications

Monotonic Mean-Squared Convergence Conditions for Random Pairwise Consensus Synchronization in Wireless Networks

Monotonic Mean-Squared Convergence Conditions for Random Pairwise Consensus Synchronization in Wireless Networks

Time and Frequency Activities at the U.S. Naval Observatory

Timestamp-free network synchronization with random pairwise message exchanges

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