A Comparative Study of Methods of Clock Ensemble Development

被引：1

作者：

Bhardwajan, A. A. ^{[1
]}

Maharana, S. ^{[1
]}

Ganesh, T. S. ^{[1
]}

机构：

[1] ISRO, ISRO Telemetry Tracking & Command Network ISTRAC, Nav Syst Area, Bangalore, Karnataka, India

来源：

MAPAN-JOURNAL OF METROLOGY SOCIETY OF INDIA | 2017年 / 32卷 / 02期

关键词：

Ensemble; Timescale; Kalman filter; Artificial neural networks; Inverse Allan variance;

D O I：

10.1007/s12647-016-0197-x

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

An ensemble of clocks is the first step towards the realization of a timescale. A timescale is the estimate of phase and frequency of the "perfect'' clock derived from the phase and frequency of the clocks which participate in the ensemble. Three methods of clock ensembling viz. a Kalman filter based formulation, a multi-scale ensemble timescale based on minimizing the ADEV and an ensemble using artificial neural networks have been discussed in this paper and a comparative study has been performed.

引用

页码：127 / 130

页数：4

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