Comparison of TEC Calculations Based on Trimble, Javad, Leica, and Septentrio GNSS Receiver Data

Demyanov, V. V.; Sergeeva, M. A.; Fedorov, Mark E.; Ishina, Tatiana V.; Gatica-Acevedo, V.J.; Cabral‐Cano, E.

doi:10.3390/rs12193268

Cited by 17 publications

(9 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different factors affect TEC measurements: the intrinsic thermal noise of the receiver, the stability of the disciplined oscillator, the coherence of the operating frequencies, multipath, etc. [36]. Increase in the satellite transmitter power [37], application of choke ring antennas, or advanced signal coding (providing a steeper and narrower main maximum of the autocorrelation function) could, to some extent, compensate for such negative factors.…”

Section: Discussionmentioning

confidence: 99%

Galileo E5 AltBOC Signals: Application for Single-Frequency Total Electron Content Estimations

et al. 2021

View full text Add to dashboard Cite

Global navigation satellite system signals are known to be an efficient tool to monitor the Earth ionosphere. We suggest Galileo E5 AltBOC phase and pseudorange observables— a single-frequency combination—to estimate the ionospheric total electron content (TEC). We performed a one-month campaign in September 2020 to compare the noise level for different TEC estimations based on single-frequency and dual-frequency data. Unlike GPS, GLONASS, or Galileo E5a and E5b single-frequency TEC estimations (involving signals with binary and quadrature phase-shift keying, such as BPSK and QPSK, or binary offset carrier (BOC) modulation), an extra wideband Galileo E5 AltBOC signal provided the smallest noise level, comparable to that of dual-frequency GPS. For elevation higher than 60 degrees, the 100-sec root-mean-square (RMS) of TEC, an estimated TEC noise proxy, was as follows for different signals: ~0.05 TECU for Galileo E5 AltBOC, 0.09 TECU for GPS L5, ~0.1TECU for Galileo E5a/E5b BPSK, and 0.85 TECU for Galileo E1 CBOC. Dual-frequency phase combinations provided RMS values of 0.03 TECU for Galileo E1/E5, 0.03 and 0.07 TECU for GPS L1/L2 and L1/L5. At low elevations, E5 AltBOC provided at least twice less single-frequency TEC noise as compared with data obtained from E5a or E5b. The short dataset of our study could limit the obtained estimates; however, we expect that the AltBOC single-frequency TEC will still surpass the BPSK analogue in noise parameters when the solar cycle evolves and geomagnetic activity increases. Therefore, AltBOC signals could advance geoscience.

show abstract

Section: Discussionmentioning

confidence: 99%

Galileo E5 AltBOC Signals: Application for Single-Frequency Total Electron Content Estimations

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Global availability of TEC data makes them a convenient tool for detection of fine effects in the ionosphere. At the same time, its potential sensitivity can be limited by the GNSS data temporal resolution and the processing procedures applied in a receiver [40]. To note, sTEC response to SAW is expected to be the most pronounced when SAW is excited in the F-region of the ionosphere.…”

Section: Modeling Resultsmentioning

confidence: 99%

“…Despite the lower noise level at TNGF, in the majority of cases no index response was detected here. We suppose that the mentioned differences are due to the dependence of the measurement quality and sensitivity of the navigation receiver on its make/type, as it was shown in [40]. (7) In individual cases the peaks of particular indices were detected before the meteoroid explosion (e.g., S4 at 02:12 and 02:16 at some LoS to PRN28 and PRN06; ROTI at 02:17 at one LoS to PRN28).…”

Section: Ionospheric Response Registered By Scintillation Indicesmentioning

confidence: 99%

Assessment of Morelian Meteoroid Impact on Mexican Environment

et al. 2021

Self Cite

View full text Add to dashboard Cite

Possible ionospheric effects of the Morelian meteoroid that passed and exploded over Mexico on 19 February 2020 (18 February 2020 local time) were estimated. The meteoroid trajectory, velocity and time of occurrence were calculated based on outdoor camera records. Modeling was used to estimate the meteoroid initial diameter, density, mass, velocity, energy and their change during its flight in the atmosphere. The ensemble of ionospheric scintillation indices calculated from the high-rate GNSS data and the filtered slant Total Electron Content data were used to reveal the presence of ionospheric disturbances generated by shock waves excited by the meteoroid flight and explosion. The first ionospheric responses to phenomena accompanying the meteoroid were detected (2.5–3.5) min after the explosion. The disturbances were attenuated quickly with distance from their source and were rarely recorded by GNSS receivers located more than 600 km from the meteoroid explosion site. The ionospheric disturbances of intermediate-scale, small-scale, shock-acoustic-wave-scale and sometimes medium-scale were revealed. The detected disturbances corresponded to the range of acoustic-gravity waves. An asymmetry of the disturbance manifestation in different directions was observed. The obtained results are in accordance with results of the observation of other meteoroids. Although the object was smaller and of less energy than other known meteoroids, it is an interesting case because, to the best of our knowledge, it isthe first known to us low-latitude meteoroid with the detected ionospheric effects.

show abstract

“…The level of carrier phase measurement noises significantly differs for signals of different systems and for different signal components [13][14][15]. This issue is important for estimation of the characteristic deviation frequency in the spectrum of phase variations and scintillations.…”

Section: Data and Processing Methodsmentioning

confidence: 99%

“…At the first stage, the level of phase measurement noise for signals of different navigation systems, different frequencies and components were analyzed. The second-order derivative of the signal carrier phase was used as the noise magnitude (Please, see the methodology description in [14]). Table 2 provides RMS estimates for the noise of phase measurements for signals from different systems and components.…”

Section: Navigation Systemmentioning

confidence: 99%

Experimental Estimation of Deviation Frequency Within the Spectrum of Scintillations of the Carrier Phase of GNSS Signals

Demyanov¹,

Danilchuk²,

Yasyukevich³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

The term deviation frequency denotes the boundary between the variable part of the amplitude and phase scintillation spectrum and the part of uninformative noises. We suggested the concept of the “characteristic deviation frequency” during the observation period which is defined as the most probable value of the deviation frequency under current local conditions. This work is a case study of the characteristic deviation frequency (fd) registered for GPS, GLONASS, Galileo and SBAS signals under quiet and weakly disturbed geomagnetic conditions in April 2021 at the mid-latitude GNSS station. Our results demonstrated that the fd value for all signal components of GPS, GLONASS and GALILEO signals varied within 15-22 Hz. The characteristic deviation frequency was 20 Hz for the mentioned GNSS signals. In difference, the deviation frequency was limited within 13-20 Hz for SBAS with the lower characteristic deviation frequency at 18 Hz. We assume that the concept of the characteristic deviation frequency can be used to determine the optimal sampling rate of the GNSS carrier phase data for the ionospheric studies. The characteristic deviation frequency can also characterize the state of the regular trans-ionospheric radio channel.

show abstract

Comparison of TEC Calculations Based on Trimble, Javad, Leica, and Septentrio GNSS Receiver Data

Cited by 17 publications

References 21 publications

Galileo E5 AltBOC Signals: Application for Single-Frequency Total Electron Content Estimations

Galileo E5 AltBOC Signals: Application for Single-Frequency Total Electron Content Estimations

Assessment of Morelian Meteoroid Impact on Mexican Environment

Experimental Estimation of Deviation Frequency Within the Spectrum of Scintillations of the Carrier Phase of GNSS Signals

Contact Info

Product

Resources

About