A real-time implementation of precise timestamp-free network synchronization

Li, Max; Gvozdenovic, Stefan; Ryan, Alexander; David, Radu; Brown, D. Richard; Klein, Andrew G.

doi:10.1109/acssc.2015.7421334

Cited by 11 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This shows that the phase shift related to the displacement distance will eventually only depend on f ref in (11). As a result, the final phase shift reflected on the transmitted carrier will only depend on the transmitted carrier f c as shown in (12). This finding will affect the required ranging accuracy for coherent beamforming which will be discussed later.…”

Section: Wireless Frequency Synchronizationmentioning

confidence: 89%

“…Finally, while supporting and maintaining phase alignment, the most challenging coordination task in open-loop distributed wireless networks, signals with information must also be time aligned to ensure sufficient overlap of the pulses or symbols at the destination. The required timing accuracy is thus dependent on the information rate, and is typically on the order of nanoseconds, which can support a greater absolute error than phase alignment which is typically on the order of picoseconds [11], [12].…”

mentioning

confidence: 99%

See 1 more Smart Citation

Distributed Radio Frequency Cooperation at the Wavelength Level Using Wireless Phase Synchronization

Mghabghab,

Ellison,

Nanzer

2020

Preprint

View full text Add to dashboard Cite

Coordinating the operations of separate wireless systems at the wavelength level can lead to significant improvements in wireless capabilities. We address a fundamental challenge in distributed radio frequency system cooperation -inter-node phase alignment -which must be accomplished wirelessly, and is particularly challenging when the nodes are in relative motion. We present a solution to this problem that is based on a novel combined high-accuracy ranging and frequency transfer technique.Using this approach, we present the design of the first fully wireless distributed system operating at the wavelength level. We demonstrate the system in the first open-loop coherent distributed beamforming experiment. Internode range estimation to support phase alignment was performed using a two-tone stepped frequency waveform with a single pulse, while a two-tone waveform was used for frequency synchronization, where the oscillator of a secondary node was disciplined to the primary node. In this concept, secondary nodes are equipped with an adjunct self-mixing circuit that is able to extract the reference frequency from the captured synchronization waveform. The approach was implemented on a two-node dynamic system using Ettus X310 software-defined radios, with coherent beamforming at 1.5 GHz. We demonstrate distributed beamforming with greater than 90% of the maximum possible coherent gain throughout the displacement of the secondary node over one full cycle of the beamforming frequency.

show abstract

Section: Wireless Frequency Synchronizationmentioning

confidence: 89%

mentioning

confidence: 99%

Distributed Radio Frequency Cooperation at the Wavelength Level Using Wireless Phase Synchronization

Mghabghab,

Ellison,

Nanzer

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…In order to effectively assess and prevent personal credit risk, this article is based on the principles of "5C" (Character, Capacity, Capital, Collateral, Condition) in the field of personal credit assessment, introduces the time stamp to assist the neural network artificial intelligence dynamic analysis , and achieves an accurate quantitative analysis of personal credit risk assessment [4,5].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Optimization of Personal Credit Risk Assessment Model Based on Improved BPNN

Guo¹

2018

Proceedings of the 2018 International Conference on Economics, Business, Management and Corporate Social Responsibility (EBMCSR

View full text Add to dashboard Cite

In the current situation of "Internet plus Finance", the assessment of personal credit risk is of vital importance to the sustained and steady growth of the whole social economy. In order to more effectively complete the personal credit risk assessment, the innovation of this paper lies in the introduction of time stamp into the 5C evaluation method, and then using the artificial intelligence attribute (crossover factor and mutation factor) of Back Propagation Neural Network(BPNN) to build a personal credit risk assessment analysis. With the dynamic development of thinking, this model constantly adjusts and optimizes the personal credit risk assessment process. Simulation experiment shows that this integrated innovative approach not only reduces the error rate value of personal credit risk assessment, but also improves the efficiency of personal credit assessment.

show abstract

A software trigger based synchronization for multipurpose distributed acquisition systems

Jetti

Salicone

2020

2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT)

View full text Add to dashboard Cite

A real-time implementation of precise timestamp-free network synchronization

Cited by 11 publications

References 10 publications

Distributed Radio Frequency Cooperation at the Wavelength Level Using Wireless Phase Synchronization

Distributed Radio Frequency Cooperation at the Wavelength Level Using Wireless Phase Synchronization

Analysis and Optimization of Personal Credit Risk Assessment Model Based on Improved BPNN

A software trigger based synchronization for multipurpose distributed acquisition systems

Contact Info

Product

Resources

About