Low-cost precise measurement of oscillator frequency instability based on GNSS carrier observation |
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Authors: | Yanhong Kou Yue Jiao Dongyang Xu Meng Zhang Ya Liu Xiaohui Li |
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Affiliation: | 1. School of Electronic and Information Engineering, Beihang University, Beijing 100191, China;2. National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, China |
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Abstract: | Global navigation satellite systems (GNSS) receivers can be used in time and frequency metrology by exploiting stable GNSS time scales. This paper proposes a low-cost method for precise measurement of oscillator frequency instability using a single-frequency software GNSS receiver. The only required hardware is a common radio frequency (RF) data collection device driven by the oscillator under test (OUT). The receiver solves the oscillator frequency error in high time resolution using the carrier Doppler observation and the broadcast ephemeris from one of the available satellites employing the onboard reference atomic frequency standard that is more stable than the OUT. Considering the non-stable and non-Gaussian properties of the frequency error measurement, an unbiased finite impulse response (FIR) filter is employed to obtain robust estimation and filter out measurement noise. The effects of different filter orders and convolution lengths are further discussed. The frequency error of an oven controlled oscillator (OCXO) is measured using live Beidou-2/Compass signals. The results are compared with the synchronous measurement using a specialized phase comparator with the standard coordinated universal time (UTC) signal from the master clock H226 in the national time service center (NTSC) of China as its reference. The Allan deviation (ADEV) estimates using the two methods have a 99.9% correlation coefficient and a 0.6% mean relative difference over 1–1000 s intervals. The experiment demonstrates the effectiveness and high precision of the software receiver method. |
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Keywords: | Frequency instability Software GNSS receiver Carrier observation Unbiased FIR filter |
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