Comparison of high-precision frequency-stability measurement systems

Sojdr, L.; Čermák, Jan; Brida, G.

doi:10.1109/freq.2003.1275109

Cited by 28 publications

(10 citation statements)

References 4 publications

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“…Short term frequency stability is measured by rejecting a source. Allan deviation is better than 5.10 -14 and 10 -14 respectively at 1 and 10 s, comparable with existing system's performances [1][2].…”

Section: Iintroductionsupporting

confidence: 80%

Development of a 5 MHz frequency difference pre-multiplier for a short term frequency stability bench of the oscillators

Salzenstein

Jouvenceau

Vacheret

et al. 2007

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

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International audienceThis paper reports the realization of a 5 MHz frequency difference x10 pre-multiplier, developed in the laboratory to replace an obsolete one. The principle we chose is to synthesize a 45 MHz and a 50 MHz from a reference signal and from the signal to be measured, and to subtract one to the other to generate a 5 MHz, whose precision on the measurement is increased by a factor 10. Obtained Allan variance Σy(Τ) at 1 s is 5.10-14 and output spectral density of phase noise floor is about -160 dBc/Hz at 5 MHz

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Section: Iintroductionsupporting

confidence: 80%

Development of a 5 MHz frequency difference pre-multiplier for a short term frequency stability bench of the oscillators

Salzenstein

Jouvenceau

Vacheret

et al. 2007

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

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“…With bias relative to the Allan variance removed, we can thus achieve a time-domain statistical measure that has a six-times increase in edf's, hence, subsantially improved confidence, on the reported level of frequency stability at the longest-term τ -value of Avar for a primary frequency standard properly exhibiting WHFM [16], [17], [18]. Considering this significant gain, we discuss strategies for such bias removal that ultimately lead to ThêoH variance, 'H' for a hybrid variance, that can essentially replace Avar and Total Avar.…”

Section: Hybrid Statisticsmentioning

confidence: 97%

ThêoH Bias-removal Method

Howe

McGee-Taylor

Tassett

2006

2006 IEEE International Frequency Control Symposium and Exposition

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A version of Thêo1 variance, called ThêoBR variance (BR for "bias-removed" relative to the Allan variance), is constructed. This relative bias correction is applied over a range of the longest recommended Allan τ values for a given data run. ThêoH deviation ('H' to indicate a hybrid combination of ThêoBR and Allan deviations) is the Allan deviation in short term and switches to the ThêoBR deviation in long term. In the presence of non-integer-power-law and mixed noise types, the approach is as effective and less cumbersome than past approaches, and requires little, if any, a priori knowledge or human judgment of data being analyzed. The substantially gained properties of Thêo1 at large τ , to 50 % beyond the longest possible τ using the Allan deviation alone, can be obtained without Allan bias. Long-term frequency stability can be obtained in essentially onethird less time. For example, a two-month stability can be obtained with three months of data, rather than the four months of data that are usually required for such a point.

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“…13. Allan Deviation of different 10 MHz measurement systems, namely three DMTD systems (black lines, graphically extracted from [18]), an unknown DMTD system used for comparison by Sherman [7], and both SDRbased systems. Note that the SDR solutions perform comparably to DMTD hardware.…”

Section: Comparison With Dmtd Tic and Sdr Systemsmentioning

confidence: 99%

High-Precision Measurement of Sine and Pulse Reference Signals Using Software-Defined Radio

Andrich

Ihlow

Bauer

et al. 2018

IEEE Trans. Instrum. Meas.

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This paper addresses simultaneous, high-precision measurement and analysis of generic reference signals by using inexpensive commercial off-the-shelf Software Defined Radio hardware. Sine reference signals are digitally down-converted to baseband for the analysis of phase deviations. Hereby, we compare the precision of the fixed-point hardware Digital Signal Processing chain with a custom Single Instruction Multiple Data (SIMD) x86 floating-point implementation. Pulse reference signals are analyzed by a software trigger that precisely locates the time where the slope passes a certain threshold. The measurement system is implemented and verified using the Universal Software Radio Peripheral (USRP) N210 by Ettus Research LLC. Applying standard 10 MHz and 1 PPS reference signals for testing, a measurement precision (standard deviation) of 0.36 ps and 16.6 ps is obtained, respectively. In connection with standard PC hardware, the system allows long-term acquisition and storage of measurement data over several weeks. A comparison is given to the Dual Mixer Time Difference (DMTD) and Time Interval Counter (TIC), which are state-of-the-art measurement methods for sine and pulse signal analysis, respectively. Furthermore, we show that our proposed USRP-based approach outperforms measurements with a high-grade Digital Sampling Oscilloscope.

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Comparison of high-precision frequency-stability measurement systems

Cited by 28 publications

References 4 publications

Development of a 5 MHz frequency difference pre-multiplier for a short term frequency stability bench of the oscillators

Development of a 5 MHz frequency difference pre-multiplier for a short term frequency stability bench of the oscillators

ThêoH Bias-removal Method

High-Precision Measurement of Sine and Pulse Reference Signals Using Software-Defined Radio

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