Ons.Copyright: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access short article distributed under the terms and conditions with the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ four.0/).Sensors 2021, 21, 6930. https://doi.org/10.3390/shttps://www.mdpi.com/journal/sensorsSensors 2021, 21,two ofan aircraft performing 47 years of GNSS-based method guidance through each day and night, and only a single failure on account of obtaining missed GNSS alarm is allowed (assuming that an strategy takes 150 s). Such an particularly small worth can’t be basically demonstrated experimentally inside a number of minutes. The experimental durations and kinds of manually added cycle slips, to date, may not be adequate to represent the actual scenario under the influence of long-term and various risks, hence, these detection solutions may perhaps still danger missing alarms. It really is still indispensable to test these procedures with data measured more than longer intervals and to analyze the probability and traits of cycle slips to be able to calculate the integrity risk brought on by cycle slips and missed alarms. This has prompted extensive researches on the GNSS carrier phase measurement error modeling for each static receivers and low-cost dynamic receivers. For static GNSS receivers in field surveyal, the carrier phase measurement error terms is often properly modeled and compensated for making use of accurate positioning benefits by long-term static measurement, contributing to incredibly higher positioning accuracy (e.g., mm-level) [52]. Roland et al., made use of an ARIMA model and non-parametric spectral estimation approach to calibrate high-rate GNSS observations, successfully detecting vibrations on the order of magnitude of 10 0.1 mm [13]. Luis et al., proposed an improved, static and precise relative-positioning system by reducing hardware and multipath delays, particularly for GNSS-based distance metrics, which offer baseline references with sub-millimeter accuracy [14]. As for dynamic GNSS receivers, the key difficulty lies in figuring out the position references for EIDD-1931 Formula moving trajectories. Many studies around the carrier phase measurement errors of dynamic antenna have focused on low-cost GNSS receivers, working with the position final results from high-accuracy Compound E ��-secretase geodetic receivers as references for moving trajectories [157]. Li Guangcai et al., compared Android devices (i.e., Galaxy S8, Honor V8 and Nexus 9) with u-blox receivers and geodetic receivers and analyzed the pseudorange and carrier-phase error qualities from the low-cost receivers on Android devices below static and dynamic situations [18]. Chen et al., indicated that the variations involving the pseudorange and carrier-phase observations of some devices aren’t fixed, by comparing various devices [19]. Gao et al., have pointed out that the integer house with the carrier phase ambiguity needs to be restored by a detrending operation [20]. Distinctive from these lowcost GNSS receivers, the reference trajectories of high-precision receivers normally need extra precise instruments, that are commonly tough to deploy in dynamic circumstances. To receive GNSS measurement errors in dynamic conditions, accurate position references at every time epoch should be acquired for dynamic GNSS receivers. Lau Lawrence et al., studied the GNSS multipath effects of dynamic receivers by conducting railway experiments [21]. The reference trajectories in the examined railway were precisely measured just before the experime.