Abstract
The global navigation satellite system (GNSS) measurements to determine ionospheric total electron content (TEC) are mainly derived from expensive geodetic-grade receivers, which are not conducive to high-density placement. In this work, we present an analysis of the performance of ionospheric TEC determined by GNSS dual-frequency measurements derived from the smartphone, taking the Xiaomi 8 (XMI8) as an example. First, the ionospheric observable is retrieved from the code and carrier phase data using the carrier-to-code leveling technique and a new carrier-to-noise weighting strategy instead of an elevation weighting strategy, considering the characteristic of the GNSS measurements from smartphones. Then, the absolute ionospheric slant TEC (STEC) values are isolated from the ionospheric observables by modeling with the generalized trigonometric series function. The experimental data, covering over 120 h, were taken from two situations: one is the data collected by the original smartphone antenna; the other is the external geodetic-grade antenna. The TEC data obtained from the collocated geodetic-grade receiver are used as reference data to evaluate the performance of the TEC values from XMI8. Compared to the reference data, the evaluation results show that the ionospheric STEC extraction accuracy can reach total electron content unit (TECU) values of 0.17 and 0.11 under the two different situations in the continuous carrier phase satellite arc without cycle slips. In addition, the VTEC modeling accuracy is above 5 and 2 TECU in the two different situations, respectively. Thus, we concluded that consumer-level GNSS chipsets are highly potential in the future to increase the ionospheric monitoring station density due to their low costs and good data quality.
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The GNSS observational data can be made available upon request by contacting the author.
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Acknowledgements
This work was partially funded by the Hubei Provincial Natural Science Foundation of China (Grant No. 2020CFA048) and the National Natural Science Foundation of China (Grant No. 42022025). Baocheng Zhang is supported by the CAS Pio-neer Hundred Talents Program. Many thanks go to the Geo++ GmbH for providing Geo++ RINEX Logger APP.
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Xu, L., Zha, J., Li, M. et al. Estimation of ionospheric total electron content using GNSS observations derived from a smartphone. GPS Solut 26, 138 (2022). https://doi.org/10.1007/s10291-022-01329-w
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DOI: https://doi.org/10.1007/s10291-022-01329-w