An Approach to a Clock Offsets Model for Real-Time PPP Time and Frequency Transfer During Data Discontinuity

Abstract

To resolve the dilemma in any post-processing strategy, i.e., the difficulty of monitoring the real-time time and frequency signals in a timely manner, real-time GPS time and the frequency transfer have recently become trending topics. Unfortunately, data interruption occurs when conducting real-time time transfer, sometimes from unexpected reasons. In this study, to ensure the stability and precision of real-time time transfer, an adaptive prediction model and a between-epoch constraint receiver clock model are applied as the mathematic models. The purpose of prediction is to solve the ambiguity from re-convergence when the data reappear. Moreover, compared to the conventional method, the between-epoch constraint receiver clock model is employed in this study to consider the correlation of epoch-wise clock parameters to avoid wasting useful information. The simulation data and real data are compared to verify the performance of the new approach. The simulation data for 165 days are designed with random daily interruptions of 10, 30, 60 and 90 min. Real data from 12 days is captured from the incomplete data in routine observation records. Ignoring the simulation data and real data, the investigation of six stations shows that the results with the between-epoch constraint receiver clock model were smoother than those with a white noise model. With an adaptive prediction model and the between-epoch constraint receiver clock model, the simulation results illustrate that the average root mean squares (RMS) values of all the stations are significantly reduced, i.e., by 66.03% from 0.43 to 0.14 ns, by 64.91% from 0.44 to 0.15 ns, by 57.47% from 0.43 to 0.18 ns, and by 51.67% from 0.44 to 0.21 ns for the 10, 30, 60 and 90 min data interruptions, respectively. The stability of all the stations is improved by at least 50%. The improvement increases to 100% for short-term stability. The real results show that the stability of four links is boosted by at least 5%. The model proposed in this paper is more effective in producing short-term stability than long-term stability.

An improved method for real-time PPP timing and time transfer with broadcast ephemerides

“…Therefore, real-time PPP applications are not reliable in their current state. Qin et al [37] solved the problem of broken communication by predicting the receiver clock offset. However, that does not solve the underlying problem, especially if internet communication is down for long periods or there is no internet at sea.…”

Low-Cost GNSS Software Receiver Performance Assessment

“…They found that fine clock coasting modeling leads to an improvement in vertical positioning precision of around 50% with only three satellites; an increase in the navigation solution availability was also observed; a reduction of holdover recovery time from dozens of seconds to only a few could be achieved. Moreover, in [15], with the aim of ensuring the stability and precision of real-time time transfer, Weijin et al proposed an adaptive prediction model and a between-epoch constraint receiver clock model; the results with the between-epoch constraint receiver clock model were smoother than those with a white noise model, as the average root mean square (RMS) values were significantly less, by at least 50%. In [16], Yiran et al investigated the time-correlated error coupled in the receiver clock estimations, proposing an enhanced Kalman filter; the RTK positioning performance was increased by a maximum of 21.40% when compared with the results obtained from the commercial low-cost U-Blox receiver.…”